Agisoft PhotoScan User Manual. Professional Edition, Version PDF Free Download – Agisoft Metashape 1.7.3
Agisoft PhotoScan allows you to automatically create high-quality 3D model objects based on digital photos. To reconstruct an object in PhotoScan it is enough to upload photos, no additional information is required.
It can use the plane images to automatically generate high-quality 3D model, which can be understood as a process of converting a series of 2D images to a 3D model. The Kenan Makerspace also has a printed version of this manual for use as well as a computer with the professional version of Agisoft PhotoScan on it.
Agisoft PhotoScan Skilled is a program that may assist people to create 3D photographs from at the very least two photographs, so long as they include an object that may be reconstructed. Last Update: Eu estou muito satisfeito com os resultados deste software. E realmente o melhor para uso de mapeamento com uso de drones de pequeno porte. Processing your photos in Agisoft Photoscan to create a 3D model, and using some additional features in Photoscan Pro to generate orthographic photos.
Editing the model in Photoscan to optimize it for upload to Sketchfab. Each marker should be placed on every photo it is visible on. The most reasonable way to achieve the goal is to use guided marker placement approach see PhotoScan User Manual and then complete the refinement procedure see PhotoScan User Manual. May 31, Agisoft PhotoScan Pro 1. When Please sign-in to your account. Thank you! Normally this data is extracted automatically from the EXIF metadata. Frame camera with Fisheye lens.
If extra wide lenses were used to get the source data, standard PhotoScan camera model will not allow to estimate camera parameters successfully. Fisheye camera type setting will initialize implementation of a different camera model to fit ultra-wide lens distortions. However, if the initial guess values differ significantly from the actual focal length, it is likely to lead to failure of the alignment process.
So, if photos do not contain EXIF metadata, it is preferable to specify focal length mm and sensor pixel size mm manually. It can be done in Camera Calibration dialog box available from Tools menu. Generally, this data is indicated in camera specification or can be received from some online source. To indicate to the program that camera orientation parameters should be estimated based on the focal length and pixel size information, it is necessary to set the Type parameter on the Initial tab to Auto value.
Camera calibration parameters Once you have tried to run the estimation procedure and got poor results, you can improve them thanks to the additional data on calibration parameters.
To specify camera calibration parameters 1. Select calibration group, which needs reestimation of camera orientation parameters on the left side of the Camera Calibration dialog box. In the Camera Calibration dialog box, select Initial tab. Modify the calibration parameters displayed in the corresponding edit boxes.
Set the Type to the Precalibrated value. Repeat to every calibration group where applicable. Click OK button to set the calibration. Initial calibration data will be adjusted during the Align Photos processing step.
Once Align Photos processing step is finished adjusted calibration data will be displayed on the Adjusted tab of the Camera Calibration dialog box. If very precise calibration data is available, to protect it from recalculation one should check Fix calibration box.
In this case initial calibration data will not be changed during Align Photos process. Adjusted camera calibration data can be saved to file using Save button on the Adjusted tab of the Camera Calibration dialog box.
Estimated camera distortions can be seen on the distortion plot available from context menu of a camera group in the Camera Calibration dialog.
In addition, residuals graph the second tab of the same Distortion Plot dialog allows to evaluate how adequately the camera is described with the applied mathematical model. Note that residuals are averaged per cell of an image and then across all the images in a camera group. Calibration parameters list f Focal length measured in pixels.
Optimization Optimization of camera alignment During photo alignment step PhotoScan automatically finds tie points and estimates intrinsic and extrinsic camera parameters. However, the accuracy of the estimates depends on many factors, like overlap between the neighbouring photos, as well as on the shape of the object surface.
Thus, it is recommended to inspect alignment results in order to delete tie points with too large reprojection error if any. Please refer to Editing point cloud section for information on point cloud editing. Once the set of tie points has been edited, it is necessary to run optimization procedure to reestimate intrinsic and extrinsic camera parameters. Optimization procedure calculates intrinsic and extrinsic camera parameters based on the tie points left after editing procedure.
Providing that outliers have been removed, the estimates will be more accurate. In addition, this step involves estimation of a number of intrinsic camera parameters which are fixed at the alignment step: aspect, skew; and distortion parameters p3, p4, k4. To optimize camera alignment 1. Choose Optimize Cameras In Optimize Camera Alignment dialog box check camera parameters to be optimized.
Click OK button to start optimization. After optimization is complete, estimated intrinsic camera parameters can be inspected on the Adjusted tab of the Camera Calibration dialog available from the Tools menu.
You will have to rebuild the model geometry after optimization. Editing Using masks Overview Masks are used in PhotoScan to specify the areas on the photos which can otherwise be confusing to the program or lead to incorrect reconstruction results. Thus, the objects on the masked parts of the photos are not taken into account while estimating camera positions.
This is important in the setups, where the object of interest is not static with respect to the scene, like when using a turn table to capture the photos. Masking may be also useful when the object of interest occupies only a small part of the photo. In this case a small number of useful matches can be filtered out mistakenly as a noise among a much greater number of matches between background objects. Building dense point cloud While building dense point cloud, masked areas are not used in the depth maps computation process.
Masking can be used to reduce the resulting dense cloud complexity, by eliminating the areas on the photos that are not of interest. Masked areas are always excluded from processing during dense point cloud and texture generation stages, including Tiled Model generation process. Let’s take for instance a set of photos of some object. Along with an object itself on each photo some background areas are present. These areas may be useful for more precise camera positioning, so it is better to use them while aligning the photos.
However, impact of these areas at the building dense point cloud is exactly opposite: the resulting model will contain object of interest and its background. Background geometry will “consume” some part of mesh polygons that could be otherwise used for modeling the main object. Setting the masks for such background areas allows to avoid this problem and increases the precision and quality of geometry reconstruction. Masking areas on the photos that are occluded by outliers or obstacles helps to prevent the “ghosting” effect on the resulting texture atlas.
Loading masks Masks can be loaded from external sources, as well as generated automatically from background images if such data is available. To import masks 1. Select Import Masks In the Import Mask dialog select suitable parameters. When generating masks from separate or background images, the folder selection dialog will appear. Browse to the folder containing corresponding images and select it. The following parameters can be specified during mask import: Method Specifies the source of the mask data.
From Alpha – load masks from alpha channel of the source photos. From File – load masks from separate images. From Background – generate masks from background photos. From Model – generate masks based on reconstructed model. Operation Specifies the action to be done in case a second mask is imported for the photo. Replacement – new mask will be loaded and stored instead of the original one. Union – two masks will be united and stored.
Intersection – the intersection of the two masks will be stored as a new mask for the photo. Difference – only the difference between two masks will be stored as a new mask for the photo. Filename template not used in From alpha mode Specifies the file name template used to generate mask file names.
This template can contain special tokens, that will be substituted by corresponding data for each photo being processed. Tolerance From Background method only Specifies the tolerance threshold used for background differencing. Tolerance value should be set according to the color separation between foreground and background pixels.
For larger separation higher tolerance values can be used. Apply to Specifies whether masks should be imported for the currently opened photo, active chunk or entire Workspace. All cameras – load masks for active chunk. Entire workspace – load masks for all chunks in the project. Selected cameras – load mask for the currently checked cameras if any. Current photo – load mask for the currently opened photo if any.
Editing masks Modification of the current mask is performed by adding or subtracting selections. A selection is created with one of the supported selection tools and is not incorporated in the current mask until it is merged with a mask using Add Selection or Subtract Selection operations. To edit the mask 1. The photo will be opened in the main window. The existing mask will be displayed as a shaded region on the photo. Select the desired selection tool and generate a selection.
Click on Add Selection toolbar button to add current selection to the mask, or Subtract Selection to subtract the selection from the mask. Invert Selection button allows to invert current selection prior to adding or subtracting it from the mask. The following tools can be used for creating selections: Rectangle selection tool Rectangle selection tool is used to select large areas or to clean up the mask after other selection tools were applied.
Intelligent scissors tool Intelligent scissors is used to generate a selection by specifying its boundary. The boundary is formed by selecting a sequence of vertices with a mouse, which are automatically connected with segments.
To enable snapping, hold Ctrl key while selecting the next vertex. To complete the selection, the boundary should be closed by clicking on the first boundary vertex. Intelligent paint tool Intelligent paint tool is used to “paint” a selection by the mouse, continuously adding small image regions, bounded by object boundaries.
Magic wand tool Magic Wand tool is used to select uniform areas of the image. To make a selection with a Magic Wand tool, click inside the region to be selected. The range of pixel colors selected by Magic Wand is controlled by the tolerance value. At lower tolerance values the tool selects fewer colors similar to the pixel you click with the Magic Wand tool. Higher value broadens the range of colors selected.
A mask can be inverted using Invert Mask command from the Photo menu. The command is active in Photo View only. Alternatively, you can invert masks either for selected cameras or for all cameras in a chunk using Invert Masks The masks are generated individually for each image.
If some object should be masked out, it should be masked out on all photos, where that object appears. Saving masks Created masks can be also saved for external editing or storage. To export masks 1. Select Export Masks In the Export Mask dialog select suitable parameters. Browse to the folder where the masks should be saved and select it. The following parameters can be specified during mask export: Export masks for Specifies whether masks should be exported for the currently opened photo, active chunk or entire Workspace.
Current photo – save mask for the currently opened photo if any. Active chunk – save masks for active chunk. Entire workspace – save masks for all chunks in the project. Single channel mask image – generates single channel black and white mask images. Image with alpha channel – generates color images from source photos combined with mask data in alpha channel. Mask file names Specifies the file name template used to generate mask file names.
Mask file names parameter will not be used in this case. Filtering points based on specified criterion In some cases it may be useful to find out where the points with high reprojection error are located within the sparse cloud, or remove points representing high amount of noise.
Point cloud filtering helps to select such points, which usually are supposed to be removed. It is also typical for false matches. Removing such points can improve accuracy of the subsequent optimization step. Reconstruction uncertainty High reconstruction uncertainty is typical for points, reconstructed from nearby photos with small baseline.
Such points can noticeably deviate from the object surface, introducing noise in the point cloud. While removal of such points should not affect the accuracy of optimization, it may be useful to remove them before building geometry in Point Cloud mode or for better visual appearance of the point cloud. Image count PhotoScan reconstruct all the points that are visible at least on two photos. However, points that are visible only on two photos are likely to be located with poor accuracy.
Image count filtering enables to remove such unreliable points from the cloud. Projection Accuracy This criterion allows to filter out points which projections were relatively poorer localised due to their bigger size. To remove points based on specified criterion 1. Switch to Point Cloud view mode using Point Cloud toolbar button. Select Gradual Selection In the Gradual Selection dialog box specify the criterion to be used for filtering. Adjust the threshold level using the slider.
You can observe how the selection changes while dragging the slider. Click OK button to finalize the selection. To remove selected points use Delete Selection command from the Edit menu or click Delete Selection toolbar button or simply press Del button on the keyboard.
Filtering points based on applied masks To remove points based on applied masks 1. Switch to Dense Cloud view mode using Dense Cloud toolbar button. Choose Select Masked Points In the Select Masked Points dialog box indicate the photos whose masks to be taken into account.
Adjust the edge softness level using the slider. Click OK button to run the selection procedure. Filtering points based on points colors To remove points based on points colors 1. Choose Select Points by Color In the Select Points by Color dialog box the color to be used as the criterion.
Adjust the tolerance level using the slider. Tie point per photo limit Tie point limit parameter could be adjusted before Align photos procedure. The number indicates the upper limit for matching points for every image.
Using zero value doesn’t apply any tie-point filtering. The number of tie points can also be reduced after the alignment process with Tie Points – Thin Point Cloud command available from Tools menu. Manual points removal Incorrect points can be also removed manually. To remove points from a point cloud manually 1. To add new points to the current selection hold the Ctrl key during selection of additional points.
To remove some points from the current selection hold the Shift key during selection of points to be removed. To delete selected points click the Delete Selection toolbar button or select Delete Selection command from the Edit menu. To crop selection to the selected points click the Crop Selection toolbar button or select Crop Selection command from the Edit menu. PhotoScan allows to export mesh and then import it back for this purpose. Decimation tool Decimation is a tool used to decrease the geometric resolution of the model by replacing high resolution mesh with a lower resolution one, which is still capable of representing the object geometry with high accuracy.
PhotoScan tends to produce 3D models with excessive geometry resolution, so mesh decimation is usually a desirable step after geometry computation.
Highly detailed models may contain hundreds of thousands polygons. While it is acceptable to work with such a complex models in 3D editor tools, in most conventional tools like Adobe Reader or Google Earth high complexity of 3D models may noticeably decrease application performance. High complexity also results in longer time required to build texture and to export model in pdf file format. In some cases it is desirable to keep as much geometry details as possible like it is needed for scientific and archive purposes.
However, if there are no special requirements it is recommended to decimate the model down to – polygons for exporting in PDF, and to or even less for displaying in Google Earth and alike tools. To decimate 3D model 1. Select Decimate Mesh In the Decimate Mesh dialog box specify the target number of polygons, which should remain in the final model. Click on the OK button to start decimation.
To cancel processing click on the Cancel button. You will have to rebuild texture atlas after decimation is complete. Close Holes tool Close Holes tool provides possibility to repair your model if the reconstruction procedure resulted in a mesh with several holes, due to insufficient image overlap for example.
Close holes tool enables to close void areas on the model substituting photogrammetric reconstruction with extrapolation data.
It is possible to control an acceptable level of accuracy indicating the maximum size of a hole to be covered with extrapolated data. To close holes in a 3D model 1. Select Close Holes In the Close Holes dialog box indicate the maximum size of a hole to be covered with the slider. Click on the OK button to start the procedure. Polygon filtering on specified criterion In some cases reconstructed geometry may contain the cloud of small isolated mesh fragments surrounding the “main” model or big unwanted polygons.
Mesh filtering based on different criteria helps to select polygons, which usually are supposed to be removed.
PhotoScan supports the following criteria for face filtering: Connected component size This filtering criteria allows to select isolated fragments with a certain number of polygons.
The number of polygons in all isolated components to be selected is set with a slider and is indicated in relation to the number of polygons in the whole model. The components are ranged in size, so that the selection proceeds from the smallest component to the largest one.
Polygon size This filtering criteria allows to select polygons up to a certain size. The size of the polygons to be selected is set with a slider and is indicated in relation to the size of the whole model. This function can be useful, for example, in case the geometry was reconstructed in Smooth type and there is a need to remove extra polygons automatically added by PhotoScan to fill the gaps; these polygons are often of a larger size that the rest.
To remove small isolated mesh fragments 1. In the Gradual Selection dialog box select Connected component size criterion. Select the size of isolated components to be removed using the slider. To remove the selected components use Delete Selection command from the Edit menu or click Delete Selection toolbar button or simply press Del button on the keyboard.
To remove large polygons 1. In the Gradual Selection dialog box select Polygon size criterion. Select the size of polygons to be removed using the slider. Note that PhotoScan always selects the fragments starting from the smallest ones. If the model contains only one component the selection will be empty.
Manual face removal Unnecessary and excessive sections of model geometry can be also removed manually. To remove part of the mesh polygons manually 1. Select rectangle, circle or free-form selection tool using Rectangle Selection, Circle Selection or Free-Form Selection toolbar buttons. Make the selection using the mouse. To add new polygons to the current selection hold the Ctrl key during selection of additional polygons.
To remove some polygons from the current selection hold the Shift key during selection of polygons to be excluded. To delete selected polygons click the Delete Selection toolbar button or use Delete Selection command from the Edit menu.
To crop selection to the selected polygons click the Crop Selection toolbar button or use Crop Selection command from the Edit menu. To grow or shrink current selection 1. To grow current selection press PageUp key in the selection mode. To grow selection by even a larger amount, press PageUp while holding Shift key pressed.
To shrink current selection press PageDown key in the selection mode. To shrink selection by even a larger amount, press PageDown while holding Shift key pressed. Fixing mesh topology PhotoScan is capable of basic mesh topology fixing. To fix mesh topology 1. Select View Mesh Statistics In the Mesh Statistics dialog box you can inspect mesh parameters. If there are any topological problems, Fix Topology button will be active and can be clicked to solve the problems.
Editing mesh in the external program To export mesh for editing in the external program 1. In the Save As dialog box, specify the desired mesh format in the Save as type combo box. Select the file name to be used for the model and click Save button. In the opened dialog box specify additional parameters specific to the selected file format. To import edited mesh 1. Select Import Mesh In the Open dialog box, browse to the file with the edited model and click Open.
Please make sure to select one of these file formats when exporting model from the external 3D editor. Automation Using chunks When working with typical data sets, automation of general processing workflow allows to perform routine operations efficiently. PhotoScan allows to assign several processing steps to be run one by one without user intervention thanks to Batch Processing feature. Manual user intervention can be minimized even further due to ‘multiple chunk project’ concept, each chunk to include one typical data set.
For a project with several chunks of the same nature, common operations available in Batch Processing dialog are applied to each selected chunk individually, thus allowing to set several data sets for automatic processing following predefined workflow pattern.
In addition, multiple chunk project could be useful when it turns out to be hard or even impossible to generate a 3D model of the whole scene in one go. This could happen, for instance, if the total amount of photographs is too large to be processed at a time. To overcome this difficulty PhotoScan offers a possibility to split the set of photos into several separate chunks within the same project. Alignment of photos, building dense point cloud, building mesh, and forming texture atlas operations can be performed for each chunk separately and then resulting 3D models can be combined together.
Working with chunks is not more difficult than using PhotoScan following the general workflow. In fact, in PhotoScan always exists at least one active chunk and all the 3D model processing workflow operations are applied to this chunk. To work with several chunks you need to know how to create chunks and how to combine resulting 3D models from separate chunks into one model.
Creating a chunk To create new chunk click on the Add Chunk toolbar button on the Workspace pane or select Add Chunk command from the Workspace context menu available by right-clicking on the root element on the Workspace pane.
After the chunk is created you may load photos in it, align them, generate dense point cloud, generate mesh surface model, build texture atlas, export the models at any stage and so on.
The models in the chunks are not linked with each other. The list of all the chunks created in the current project is displayed in the Workspace pane along with flags reflecting their status. The following flags can appear next to the chunk name: R Referenced Will appear when two or more chunks are aligned with each other. To move photos from one chunk to another simply select them in the list of photos on the Workspace pane, and then drag and drop to the target chunk.
Working with chunks All operations within the chunk are carried out following the common workflow: loading photographs, aligning them, generating dense point cloud, building mesh, building texture atlas, exporting 3D model and so on. When a new chunk is created it is activated automatically. Save project operation saves the content of all chunks.
To save selected chunks as a separate project use Save Chunks command from the chunk context menu. To set another chunk as active 1. Right-click on the chunk title on the Workspace pane. Select Set Active command from the context menu.
To remove chunk 1. Select Remove Chunks command from the context menu. To rearrange the order of chunks in the Workspace pane simply drag and drop the chunks in the pane. Aligning chunks After the “partial” 3D models are built in several chunks they can be merged together. Before merging chunks they need to be aligned. To align separate chunks 1. Select Align Chunks command from the Workflow menu.
In the Align Chunks dialog box select chunks to be aligned, indicate reference chunk with a double- click. Set desired alignment options. To cancel processing click the Cancel button. Aligning chunks parameters The following parameters control the chunks alignment procedure and can be modified in the Align Chunks dialog box: Method Defines the chunks alignment method.
Point based method aligns chunks by matching photos across all the chunks. Camera based method is used to align chunks based on estimated camera locations. Corresponding cameras should have the same label. Accuracy Point based alignment only Higher accuracy setting helps to obtain more accurate chunk alignment results. Lower accuracy setting can be used to get the rough chunk alignment in the shorter time.
Point limit Point based alignment only The number indicates upper limit of feature points on every image to be taken into account during Point based chunks alignment. Fix scale Option is to be enabled in case the scales of the models in different chunks were set precisely and should be left unchanged during chunks alignment process. A significant portion of this time is spent for matching of detected features across the photos.
Image pair preselection option can speed up this process by selection of a subset of image pairs to be matched. Constrain features by mask Point based alignment only When this option is enabled, features detected in the masked image regions are discarded. For additional information on the usage of masks refer to the Using masks section.
Merging chunks After alignment is complete the separate chunks can be merged into a single chunk. To merge chunks 1. Select Merge Chunks command from the Workflow menu. In the Merge Chunks dialog box select chunks to be merged and the desired merging options. PhotoScan will merge the separate chunks into one. The merged chunk will be displayed in the project content list on Workspace pane.
The following parameters control the chunks merging procedure and can be modified in the Merge Chunks dialog box: Merge dense clouds Defines if dense clouds from the selected chunks are combined.
Merge models Defines if models from the selected chunks are combined. Chunks merging result i. Batch processing PhotoScan allows to perform general workflow operations with multiple chunks automatically. It is useful when dealing with a large number of chunks to be processed. Batch processing can be applied to all chunks in the Workspace, to unprocessed chunks only, or to the chunks selected by the user. Each operation chosen in the Batch processing dialog will be applied to every selected chunk before processing will move on to the next step.
Select Batch Process Click Add to add the desired processing stages. In the Add Job dialog select the kind of operation to be performed, the list of chunks it should be applied to, and desired processing parameters. Repeat the previous steps to add other processing steps as required.
Arrange jobs by clicking Up and Down arrows at the right of the Batch Process Click OK button to start processing. The progress dialog box will appear displaying the list and status of batch jobs and current operation progress. The list of tasks for batch processing can be exported to XML structured file using Save button in the Batch processing dialog and imported in a different project using Open button.
Graphical user interface Application window General view General view of application window. Model view Model view tab is used for displaying 3D data as well as for mesh and point cloud editing.
The view of the model depends on the current processing stage and is also controlled by mode selection buttons on the PhotoScan toolbar. Along with the model the results of photo alignment can be displayed. These include sparse point cloud and camera positions visualised data. To enter the navigation mode click the Navigation toolbar button. Photo view Photo view tab is used for displaying individual photos as well as masks on them.
In the Photo view tab it is allowed to draw masks on the photos. Photo view is visible only if any photo is opened. To open a photo double-click on its name on the Workspace or Photos pane. Switching to Photo view mode changes the contents of the Toolbar, presenting related instruments and hiding irrelevant buttons.
Workspace pane On the Workspace pane all elements comprising the current project are displayed. New Opens PhotoScan project file. Appends existing PhotoScan project file to the Append Saves PhotoScan project file. Save Saves PhotoScan project file with a new name. Save As Export Points Saves 3D model. Export Model Quits the application.
Prompts to save any unsaved Exit changes applied to the current project. Edit Menu Undo the last editing operation. Undo Redo the previously undone editing operation. Redo Removes selected faces from the mesh or selected Delete Selection points from the point cloud.
Invert Selection Grows current selection of mesh faces. Grow Selection Shrinks current selection of mesh faces. View Menu Displays sparse point cloud reconstructed during Point Cloud photo alignment. Displays dense point cloud. Dense Cloud Displays 3D model in the shaded mode. Shaded Displays 3D model in the solid mode. Solid Displays 3D model in the wireframe mode.
Wireframe Displays 3D model in the textured mode. Full Screen Shows or hides camera positions estimated during Show Cameras image alignment. Shows or hides region selector. Show Region Shows or hides the trackball. Show Trackball Shows or hides the mesh information on-screen Show Info display. Shows or hides the grid related to XY plane. Show Grid Shows all elements at the same time. Show All Hides all elements. Shows or hides Workspace pane.
Workspace Shows or hides Photos pane. Photos Shows or hides Console pane. Console Shows or hides Toolbar. Loads additional photos from folders to be Add Folder Generates camera positions and sparse point cloud.
Align Photos Generates dense point cloud. Build Dense Cloud Generates polygonal model. Build Mesh Generates 3D model texture. Build Texture Aligns multiple chunks. Align Chunks Merges multiple chunks into the single chunk. Merge Chunks Opens Batch Process dialog box. Batch Process Thins sparse point cloud by reducing the number Thin Point Cloud Permanently removes all deleted points from the Compact Dense Cloud Restores all deleted points of the dense cloud that Restore Dense Cloud Updates statistics of the dense cloud, including Update Dense Cloud Selects dense cloud points according to the masked Select Points by Masks Decimates mesh to the target face count.
Decimate Mesh Smoothes mesh. Smooth Mesh Closes holes on the model surface. Close Holes Collects and displays mesh statistics. View Mesh Statistics Displays mesh UV mapping. View Mesh UVs Imports camera positions and orientation data. Import Cameras Imports masks or creates mask from model or Import Masks Imports edited mesh from the external program. Import Mesh Imports edited texture from the external program.
Import Texture Exports camera positions and orientation data. Export Cameras Exports masks. Export Masks Exports tie point measurements. Export Matches Exports model texture. Export Texture Exports spherical panorama for camera stations. Export Panorama Removes nonlinear distortions by warping source Undistort Photos Shows camera calibration dialog box. Camera Calibration Shows camera alignment optimization dialog box. Optimize Cameras Resets reconstruction volume selector to default Reset Region position based on the sparse point cloud.
Shows preferences dialog box. Photo Menu Opens next photo from the list in the Photos pane. Switches to navigation mode. Navigation Rectangle selection tool. Rectangle Selection Intelligent Scissors selection tool. Intelligent Scissors Intelligent Paint selection tool. Magic Wand Adds current selection to the mask. Add Selection Subtracts current selection from the mask.
Subtract Selection Inverts current selection. Invert Selection Inverts mask for the current photo. Invert Mask Resets mask for the current photo. Reset Mask Turns mask shading on or off. Adjusts image brightness for more convenient Image Brightness display. Help Menu Displays help contents. Displays program information, version number and About PhotoScan
Tutorial for Beginners: 3D Model Reconstruction with Agisoft PhotoScan PDF Free Download – Agisoft Metashape 1.6.6
Tagged: 1. This topic contains 3 replies, has 2 voices, and was last updated by MAx 8 months ago. Photoscan 1. Agisoft PhotoScan Crack 1. The first contains the position of the photos and the seek out common factors in the images.
Agisoft Metashape sometimes referred to as Photoscan, Agisoft Photoscan, Metashape was added by tonytozoo in Jan and the latest update was made in Jan The list of alternatives was updated Apr Full agisoft photoscan professional 1.
New users can try Agisoft Metashape software either на этой странице demo mode export and save functions are blocked or test it in full function mode with day trial license for free. Agisoft PhotoScan Pro 1. Agisoft PhotoScan allows you to automatically create high-quality 3D model objects based on digital photos.
To reconstruct an object in PhotoScan it is enough to upload photos, no additional information is required. It can use the plane images to automatically generate high-quality 3D model, which can be understood as a process of converting a series of 2D images to a 3D model.
The Kenan Makerspace also has a printed version of this manual for use as well agisoft photoscan user manual professional edition version 1.4 free download a computer with the professional version of Agisoft PhotoScan on it. Agisoft PhotoScan Skilled is a program that may assist people to create 3D photographs from at the very least adobe cs5 gratuit pc download photographs, so long as they include an object that may be reconstructed.
Last Update: Eu estou muito satisfeito com os resultados deste software. E realmente o melhor para uso de mapeamento com uso de drones de pequeno porte. Processing your photos in Agisoft Photoscan to create a 3D model, and using some additional features in Photoscan Pro to generate orthographic photos. Editing the model in Photoscan to optimize it for upload to Sketchfab.
Each marker should be placed on every photo it is visible on. The most reasonable way to achieve the goal is to use guided marker placement approach see PhotoScan User Manual and then complete the refinement procedure see PhotoScan User Manual. May 31, Agisoft PhotoScan Pro 1. When Please sign-in to agisoft photoscan user manual professional edition version 1.4 free download account. Thank you! Viewing 4 posts – 1 through 4 of 4 total. July 29, at am September 17, at am MAx Participant.
January 17, at am November 6, at am You must be logged in to reply to this topic.
Agisoft photoscan user manual professional edition version 1.4 free download.Photoscan 1.4 manual
Photos can be taken from any position, providing that the object to be reconstructed is visible on at least two photos. Both image alignment and 3D model reconstruction are fully automated. How it works Generally the final goal of photographs processing with PhotoScan is to build a textured 3D model. The procedure of photographs processing and 3D model construction comprises four main stages.
The first stage is camera alignment. At this stage PhotoScan searches for common points on photographs and matches them, as well as it finds the position of the camera for each picture and refines camera calibration parameters. As a result a sparse point cloud and a set of camera positions are formed. The sparse point cloud represents the results of photo alignment and will not be directly used in the further 3D model construction procedure except for the sparse point cloud based reconstruction method.
However it can be exported for further usage in external programs. For instance, the sparse point cloud model can be used in a 3D editor as a reference.
On the contrary, the set of camera positions is required for further 3D model reconstruction by PhotoScan. The next stage is building dense point cloud. Based on the estimated camera positions and pictures themselves a dense point cloud is built by PhotoScan. Dense point cloud may be edited prior to export or proceeding to 3D mesh model generation. The third stage is building mesh.
PhotoScan reconstructs a 3D polygonal mesh representing the object surface based on the dense or sparse point cloud according to the user’s choice. Generally there are two algorithmic methods available in PhotoScan that can be applied to 3D mesh generation: Height Field – for planar type surfaces, Arbitrary – for any kind of object. The mesh having been built, it may be necessary to edit it.
Some corrections, such as mesh decimation, removal of detached components, closing of holes in the mesh, smoothing, etc. For more complex editing you have to engage external 3D editor tools. PhotoScan allows to export mesh, edit it by another software and import it back. After geometry i. Several texturing modes are available in PhotoScan, they are described in the corresponding section of this manual, as well as orthomosaic and DEM generation procedures.
About the manual Basically, the sequence of actions described above covers most of the data processing needs. All these operations are carried out automatically according to the parameters set by user.
Instructions on how to get through these operations and descriptions of the parameters controlling each step are given in the corresponding sections of the Chapter 3, General workflow chapter of the manual. In some cases, however, additional actions may be required to get the desired results. Pictures taken using uncommon lenses such as fisheye one may require preliminary calibration of optical system parameters or usage of different calibration model specially implemented for ultra-wide angle lens.
Chapter 4, Improving camera alignment results covers that part of the software functionality. In some capturing scenarios masking of certain regions of the photos may be required to exclude them from the calculations.
Application of masks in PhotoScan processing workflow as well as editing options available are described in Chapter 5, Editing. Chapter 6, Automation describes opportunities to save up on manual intervention to the processing workflow. It can take up quite a long time to reconstruct a 3D model. PhotoScan allows to export obtained results and save intermediate data in a form of project files at any stage of the process. If you are not familiar with the concept of projects, its brief description is given at the end of the Chapter 3, General workflow.
In the manual you can also find instructions on the PhotoScan installation and activation procedures and basic rules for taking “good” photographs, i. GPU acceleration PhotoScan supports accelerated image matching and depth maps reconstruction due to the graphics hardware GPU exploiting. PhotoScan is likely to be able to utilize processing power of any CUDA enabled device with compute capability 2. However, because of the large number of various combinations of video chips, driver versions and operating systems, Agisoft is unable to test and guarantee PhotoScan’s compatibility with every device and on every platform.
The table below lists currently supported devices on Windows platform only. We will pay particular attention to possible problems with PhotoScan running on these devices. Table 1. Start PhotoScan by running photoscan. Restrictions of the Demo mode Once PhotoScan is downloaded and installed on your computer you can run it either in the Demo mode or in the full function mode.
The first choice is set by default, so if you are still exploring PhotoScan click the Continue button and PhotoScan will start in the Demo mode. The employment of PhotoScan in the Demo mode is not time limited. Several functions, however, are not available in the Demo mode. On purchasing you will get the serial number to enter into the registration box on starting PhotoScan. Once the serial number is entered the registration box will not appear again and you will get full access to all functions of the program.
Activation procedure PhotoScan license activation PhotoScan software requires license key a digital code to be activated. First of all, make sure that you have a valid license key or a trial code at hand.
To activate PhotoScan 1. Launch PhotoScan software, previously installed on your machine, and go to Help menu for Activate product In Activation dialog insert license key according to the suggested 5 digit blocks structure. Please note that license codes does never include zero digit – only letter “O”.
If the license code has been input correctly, then the OK button will become active. Click on it to complete the activation procedure. If the button is still grayed out, please make sure that the key you are using is meant for the product you are trying to activate: a license key for the Professional Edition, for example, will not activate the Standard version of the software.
Capturing photos Before loading your photographs into PhotoScan you need to take them and select those suitable for 3D model reconstruction. Photographs can be taken by any digital camera both metric and non-metric , as long as you follow some specific capturing guidelines.
This section explains general principles of taking and selecting pictures that provide the most appropriate data for 3D model generation. Make sure you have studied the following rules and read the list of restrictions before you get out for shooting photographs. The best choice is 50 mm focal length 35 mm film equivalent lenses. It is recommended to use focal length from 20 to 80 mm interval in 35mm equivalent. If a data set was captured with fisheye lens, appropriate camera sensor type should be selected in PhotoScan Camera Calibration dialog prior to processing.
If zoom lenses are used – focal length should be set either to maximal or to minimal value during the entire shooting session for more stable results, for intermediate focal lengths separate camera calibration groups should be used.
So do not crop or geometrically transform, i. Capturing scenarios Generally, spending some time planning your shot session might be very useful.
In some cases portrait camera orientation should be used. It is recommended to remove sources of light from camera fields of view. Avoid using flash. A short list of typical reasons for photographs unsuitability is given below. Modifications of photographs PhotoScan can process only unmodified photos as they were taken by a digital photo camera.
Processing the photos which were manually cropped or geometrically warped is likely to fail or to produce highly inaccurate results. Photometric modifications do not affect reconstruction results. In this case PhotoScan assumes that focal length in 35 mm equivalent equals to 50 mm and tries to align the photos in accordance with this assumption. If the correct focal length value differs significantly from 50 mm, the alignment can give incorrect results or even fail.
In such cases it is required to specify initial camera calibration manually. The details of necessary EXIF tags and instructions for manual setting of the calibration parameters are given in the Camera calibration section. Lens distortion The distortion of the lenses used to capture the photos should be well simulated with the Brown’s distortion model.
Otherwise it is most unlikely that processing results will be accurate. Fisheye and ultra-wide angle lenses are poorly modeled by the common distortion model implemented in PhotoScan software, so it is required to choose proper camera type in Camera Calibration dialog prior to processing.