ISPRS Education

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You should note that the time it takes will likely increase when a larger image dataset is used. One thing to remember is that the solve is always live: you can continue to refine it as much as you want.

Or scan yourself to eventually get the attention of Obi-wan Kenobi if you are in danger. Satellite and aerial imagery provides answers for environmental change, weather forecasting, disaster management, food security and other. If you find software that produces better results, I'd like to hear about it. The only new one is Color Correction, where the filter tries to adjust differences in exposure levels between rasters since each face gets only textured by one photograph.

Good Free Photogrammetry Software?

This is part one in a series on open source photogrammetry. I remembered seeing something like this years ago: a product demo calledwhich did this sort of reconstruction free photogrammetry software thousands of tourist photos of the Notre Dame Cathedral. It had always seemed like free photogrammetry software vaporware, but now it was here, on an iPhone. I also remembered watching a product demo for a piece of software called from Autodesk a few years back that was more manual, but still pretty amazing. Surely, a lot of power was being sacrificed by its fully automatic workflow. Plus, capturing larger 3d scenes like detailed environments will require more than 70 pictures pretty quickly. This process is pretty intricate and having no controls seems a little scary. Over time, I discovered Bundler which was actually created from open sourced components of the Photosynth project. This documents represents hours of work and covers all the steps of creating textured 3d geometry from unregistered images. If you want free photogrammetry software see a video of this process, check this. Part 2: Meshlab Meshlab allows us to do basically anything to a 3D mesh or a point cloud. I offer a ton of ideas. Caveats Before I detail the process, I want to establish a few things first. There are probably things that are free photogrammetry software out wrong or poorly explained. Use this for personal projects only, and if you love the process, find some less restrictive software. Taking pictures with a structured and regimented approach will allow this pipeline to overcome the comparative disadvantages of this free technology and produce awesome results. In particular, any mentions of Nuke pertain tothe software I use for work. Worth the process of installation. In the end, you do have to be fairly methodical. And you get used to it. Roofs can be really tricky. Since the process relies on determining features common to several photos, it needs points or features to grab onto. Objects that are reflective mirrorsvery shiny a metal teapotor transparent plastic, glass will cause problems. Try to make sure your scene has a lot of matte surfaces. There is a reason all photogrammetry demos are done of stone or marble statues. Smaller objects require fewer images and the process will take less time. Any cleanup steps will also take dramatically less time. Step A: Import a set of pictures I tried to follow most of those maxims when I arranged the above still life except intentionally in a few places. Before you import the images, make sure your images are no larger than 3200px tall or wide. Always make copies automaters tells you to do this by default. This step encapsulates two steps. Next, during the matching phase, these features are matched between images. You can see in the log all the comparisons being made between each image and every other. The amount of comparisons that have to be made is exponentially related to the number of images, so this free photogrammetry software potentially take quite a while. Another way of doing the comparisons is a neighbor comparison to only the n images on either side of each image. Step C: Sparse 3D reconstruction After the overlapping features have been detected, you can begin a sparse 3D reconstruction. You can pan, rotate and zoom through the 3D space as it tries to solve the feature overlaps into a 3D form. At any point, you can ctrl+mousewheel up or down in order to scale the photos that are reconstructing the scene to get an idea of which photos are being places where. Unlike Catch, this process is interactive in that you can influence the outcome of the solve by removing bad cameras: ones that have been added the solve in the wrong place or facing the wrong way. Click F2, select the bad 3D points 2. Click the 'hand' icon twice, it will delete the camera that sees the largest number of selected points 3. Go to step 1 if there are still bad 3D points 4. Click F1, draw a rectangle to select all the bad cameras at most 250 cameras at a time 2. This will be echoed by the log window which will report the creation of multiple models. If most of the images are in one solve, you might choose to proceed after removing all the cameras in the alternate solves, but this could be a sign that you need to take more images to bridge the solves. This will take a while. And all with free software. Conclusion Once the dense reconstruction step is finished, simply quit the program: the data we need has already been written to disk. One thing to remember is that the solve is always live: you can continue to refine it as much as you want. This iterative workflow is incredibly handy. If some cameras fail to align properly, simply go back and shoot more pictures in the region where it failed. The program also has a mode where you can view the feature matches between images to debug strange results. Adding new images to improve or extend. This whole process probably seems far more complicated than it really is: This whole step basically amounts to loading images in, clicking a few buttons, and a lot of waiting. Pipeline Part 2: Meshlab Meshlab is an amazing piece of free software that supports a dizzying array of operations on mesh and point-cloud data. It might honestly be worth watching a video or two froma meshlab pro with tons of great tutorials, just to learn how it works. Step A: Open the bundle. It should be inside the 00 folder in the directory you chose the name of. Importantly, Meshlab will ask you as soon as you select the bundle. Give Meshlab a second, then it should display your sparse point cloud. To double check this has worked properly, click on the layers icon on the toolbar to open up the layers palette. You should see your geometry layers on the top right, and the raster layers on the bottom right of the screen. This will display the camera frustums from all of your projectors in the viewer. Keep decreasing it until you can see both your mesh and the camera positions around your mesh. We needed to import the bundle. Check out tutorial for more info. I decided to isolate just the table for this reconstruction, so you can see that I removed a ton of points from the cloud using those tools. I also removed some strange points in and around the table including this odd floating blobs. As you tumble around your scene, these bad points will be obvious. Remember when we looked at the cameras in our scene a few steps back. You can free photogrammetry software your mousewheel to alter the transparency of your image and double check the alignment. Step E: Meshing Now comes the time to convert your point cloud into an actual polygonal mesh. I spent a ton of time while working on this writeup in this step, and I have a ton to say about meshing. This is by far the most delicate part of the process. While the process of turning a point cloud into a mesh may seem obvious to us, that point is part of the toaster, but that point is part of the ground, duh for the computer, this is a hard problem. There exist several algorithms for doing this meshing step, but the best in breed seems to the algorithm by Kazhdan, Bolitho, and Hoppe. Perhaps someday there will be better meshing algorithms that are available. You have to spend some time and experiment here. If the results are crappy, try again with slightly different settings. This will take some time. Instead of deleting the ones that are bad, keep them around and maybe even rename them with the settings you chose. The Octree Depth seems to have the most control over the detail in the mesh. The Solver Divide seems to help use less memory when the Octree depth increases. Leave it at 1-5 to start with and increase up to 20 to try to smooth your mesh out a bit if there are problems. If you use Nuke, these settings are the same as in the PoissonMesh node, so if you learn a bit about these settings here, your experiences will transfer. Or take a gander at to calculate per-vertex Ambiant Occlusion to really get a great look at the model. This means that spotty areas in your point cloud will likely correlate to failures in the Mesher. Another thing to watch out for with Poisson Meshing is its signature blobby look. Use the box selection tool to remove everything else. Often, smaller blobs will form around your scene and they can usually be deleted pretty easily with the box selection. Experiment with Samples per Node to see if the smoother look helps or hurts. Clean up the wacky artifacts of the Poisson meshing process. These are fine for this demo, but they could use some more love. I included the glass Lagavulin 18 bottle to give an example of something that would probably not ork at all…and I was right. This will probably have to be manually rebuilt in some modeling software later on. Similarly, the chairs themselves look pretty okay, but the holes between the back-support crossbeams and between the chairs themselves are poisson meshed into oblivion. Save both the project, and the mesh. Step F: Fix manifold edges Sometimes, after meshing, there are non-manifold edges which need to be removed before we can proceed. In this case, the texturing step coming next requires our geometry be manifold, so lets fix this now. Using the parameterization from the last step, finally project the texture from the projectors and make a texture map. The texture filename you choose will be the name of the texture image that gets written out. This is one of the best parts of this workflow: arbitrary resolution textures. You can use this filter instead of steps G and H, but this process is slightly different. Instead of averaging several images together in order to produce a sensible texture for each face, this filter chooses to source the texture for each face from one image. The only new one is Color Correction, where the filter tries to adjust differences in exposure levels between rasters since each face gets only textured by one photograph. Please load the 3d object. Here are those stills if you want instant gratification, though. For comparison, taken of the same table but with different stuff from Catch. Both seem to be equally accurate but seem to have different types of artifacts. I wonder too what Catch is using to mesh their free photogrammetry software clouds. Before you save out your final mesh, explore it a bit now that it has a texture and everything. This amazing filter lets you simplify the mesh by percentage and retain a similar shape. If you output your mesh at full, half, and quarter size, you should be able to stay interactive further down the pipeline but swap in your full quality geo at rendertime. Or stay tuned to the next part of the tutorial as I discuss texture projection which will enable us to selectively improve the free photogrammetry software of certain parts of the model. Now you should have an obj with a texture map that comes along with it at a resolution you picked in the previous step. If you want to see the textured mesh in meshlab, save mesh as textured ply and turn on normals in export dialogthen run reload alt+r and you should be textured. Subdivided cubes work wonders for simple architectural forms. Nuke has a special tool for this called the Free photogrammetry software node. Details on this to follow in my Nuke followup. Pipeline Part 3: Applications So now you have a textured. But seriously, print out your house as a keychain or a giant coffee bean statue. Or scan yourself to eventually get the attention of Obi-wan Kenobi if you are in danger. Also, check out awesome reconstructions from a film set in Poland. Does that screenshot of the reconstruction step look familiar. Check out for more info. In this tutorialyou can see how to visualize differences between two point clouds. Free photogrammetry software the video, the guy builds a point cloud of his backyard free photogrammetry software and after digging a hole. Imagine using my workflow to build a point cloud of your home or yard at some interval to visualize subtle changes due to aging, temperature, or environmental effects. Imagine a 3D model is built from thousands of photos taken of Notre Dame. That is super insanely brilliant: using photogrammetry to fit pictures we take into a virtual and information-augmented model of the world. free photogrammetry software I might have to actually set up this cloud system in order to actually see this thing meshed. Check out these clouds though…. This entry was posted in. Post navigation Thanks free photogrammetry software the huge pipeline writeup. The license of open source software may not restrict the field of endeavor. This is not mere quibbling on my part; as a cash-strapped indie game developer, prohibition on commercial use is an automatic dealbreaker. No Discrimination Against Fields of Endeavor The license must not restrict anyone from making use of the program in a specific field of endeavor. For example, it may not restrict the program from being used in a business, or from being used for genetic research. Rationale: The major intention of this clause is to prohibit license traps that prevent open source from being used commercially. We want commercial users to join our community, not feel excluded from it. I was hoping to get permission to use your image Screen-Shot-2013-07-26-at-5. Please email me back at and let me know. Some of it is also usable for making contour maps and other post-processing work to make 3D models. You can calibrate your camera using Agisoft lens for example and just using a planar checkerboard that you print out. In that case, you should also make pics using the same zoom setting, because the distortion varies over different zoom levels. The use of undistorted images, if the calibration is right, significantly improves results because there are less unknowns to solve in the matrices. The result is that planar surfaces are more planar and less bubbly and objects are more object like. I have yet to find the time to reproject the rasters back onto that generated mesh. This specific version does regard detail very well, so if you have a highly organic structure somewhere you see mesh detail there, whereas planar surfaces become more sparse in terms of vertices free photogrammetry software edges, all aimed towards achieving the desired vertex count. I have tried so much times and never successful, maybe because I am not that good in coding and ect. Please if you have time and you feel like it ,please record video tut. I looked up the instructions and related discussions on this issue and it really looks like a pretty tricky business. Yeah, frustration drives a person mad. Maybe there is something that is some way between this and 123D. I learned a lot about how complex distributed-as-source-code software works getting this set up and I think other people might free photogrammetry software interested too. Thanks so much for all the detailed info. I am researching photogrammetry as a possible solution for a friend who is making a work of art. Surprisingly I found very sparse information regarding free methods of doing free photogrammetry software of this and so I am stoked to find this high quality info. But when I use this tool for reconstructing my own data,there was a problem puzzled me. So the 3D point cloud only have one side of the original picture. Your help would be very much appreciated, hi Jesse I am having trouble installing visualsfm on my macbook pro. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk s of this archive. This complete noob is researching how to take accurate digital measurements using photogrammetry. In my case, I am trying to measure the points on an aircraft instrument panel which cannot, practically, be removed. Have you any thoughts, or links to share, on the process. Thank you so much for posting it. Please free photogrammetry software the title of this post and put an update in large letters at the top of the page. But until then, this post should not misrepresent itself. Hi Jesse, Really appreciate the article…. Any chance on some clarification on the install windows user Cheers, Dave Thank you for putting such great a effort into your instructions. Running the scripts from the link you provided fail part way through. Is there a better way yet. I understand by your instructions that this is not your area of expertise but its worth a shot to ask Cheers Hello Jesse thank you for your very good description of 3d objects creation from 2D-images. I had issues in make it working until I found an installer by lucky bulldozer at. Hi Jesse, I wish I had seen this before. This is a great article. I work on computational mechanics applications and recently did some experiments on pigs to track down deformations to the skin in reconstructive procedures. The article is called Multi-view stereo reveals anisotropy of prestrain, deformation and growth in living skin. I used Catch for the reconstruction, but as you mention in your article, I get pretty nervous by not having idea what happens in the black box. I tested the algorithm by placing several rulers in the scene and quantifying how much relative accuracy there was. It was pretty remarkable, I probably had only one reconstruction with an error above 10%, the vast majority was below %5 which was reasonable for my application. But for my future research I will certainly move towards more open source, so this article is gold to me, thanks for posting. Adrian Thanks for the information here. Yours faithfully, Vindesimone Thanks for a very helpful tutorial. I was wondering if you could elaborate on the process of taking additional pictures and growing an existing model. Any help you can provide would be appreciated. I am not good in coding at all, so can someone give a detail description or can upload a video on youtube. I know a lot of people who got the same problem. Hi, thank you very much for this article, was very helpful and after some problems with the installation on a windows machine i was ready to follow your step by step guide. Meshlab was no problem because it was in the Ubuntu repositories. But here the export step lost me. Leave a Reply Your email address will not be published.

Improved technology We always push in research and development and the latest version is no exception, as we improved speed and accuracy in every reconstruction step of our state of the art photogrammetry pipeline. Please feel free to post news, tutorials, examples, personal projects or start a discussion and ask questions about 3D scanning! Remote sensing software processes images and provides solutions to local or global issues. Step F: Fix manifold edges Sometimes, after meshing, there are non-manifold edges which need to be removed before we can proceed. Objects that are reflective mirrors , very shiny a metal teapot , or transparent plastic, glass will cause problems. At any point, you can ctrl+mousewheel up or down in order to scale the photos that are reconstructing the scene to get an idea of which photos are being places where. A temp matt spray I can recommend is plasti-dip and you can draw reference line on it. However, it pays to think about your requirements before committing: do you need ultra-detailed models or will a simple outline suffice? This is all very rough, and I'm no engineer or scholar of optics, so the measurements could be off, or for that matter the entire premise could be faulty. I looked up the instructions and related discussions on this issue and it really looks like a pretty tricky business. It has quickly become affordable and approachable for commercial, creative, historical, medical and educational purposes.