Category: photogrammetry

https://jonbarron.info/zipnerf/

https://totoro97.github.io/projects/f2-nerf/

https://neuralradiancefields.io/history-of-neural-radiance-fields/

“Lightfield and hologram capture started with a big theoretical idea 115 years ago and we have struggled to make them viable ever since. Neural Radiance fields aka NeRF along with gaming computers now for the first time provide a promising easy and low cost way for everybody to capture and display lightfields.”

“Neural Radiance fields (NeRF) recently had its third birthday but the technology is just the latest answer to a question people have been chasing since the 1860s: How do you capture and recreate space (from images)?”

“The plenoptic function measures physical light properties at every point in space and it describes how light transport occurs throughout a 3D volume.”

Google project Starline the latest in real time and compression image to 3D technology

https://media.licdn.com/dms/document/D561FAQGWf5s6zj16tw/feedshare-document-pdf-analyzed/0/1664344833270?e=1674086400

https://towardsdatascience.com/the-ultimate-guide-to-3d-reconstruction-with-photogrammetry-56155516ddc4

https://repo-sam.inria.fr/fungraph/differentiable-multi-view/

https://www.unrealengine.com/en-US/blog/realityscan-is-now-free-to-download-on-ios

https://www.macroscans.com/an-introduction-to-macroscanning-for-3d-artists-vfx-professionals-photographers-and-enthusiasts/

https://www.qlone.pro/

Skyfish Skyportal is a web based photogrammetry processing and analysis platform for viewing and analyzing 3D reality models created by Skyfish M4 drones.

skyfish.ai/

https://www.pix4d.com/product/pix4dmapper-photogrammetry-software

www.researchgate.net/publication/325471245_CAN_WE_USE_LOW-COST_360_DEGREE_CAMERAS_TO_CREATE_ACCURATE_3D_MODELS

MeshLab
www.heritagedoc.pt/doc/Meshlab_Tutorial_iitd.pdf

Instant Meshes
www.blendernation.com/2015/11/16/instant-meshes-a-free-qaud-based-autoretopology-program/

github.com/wjakob/instant-meshes

igl.ethz.ch/projects/instant-meshes/

Open3D
www.open3d.org/docs/release/index.html
www.open3d.org/docs/release/tutorial/geometry/pointcloud.html

Point Cloud Utils
awesomeopensource.com/project/fwilliams/point-cloud-utils

MathWorks pcdownsample
www.mathworks.com/help/vision/ref/pcdownsample.html

Not Open Source

Various software
cmacvfx.com/how-to-decimate-lidar-or-photogrammetry/

Agisoft
www.digitalarchns.com/refinemesh/

www.digitalarchns.com/refinemesh/

arxiv.org/pdf/2110.06635.pdf

https://github.com/darglein/ADOP

cmacvfx.com/how-to-decimate-lidar-or-photogrammetry/

blog.frame.io/2021/06/14/photogrammetry-future-of-filmmaking/

https://developer.apple.com/videos/play/wwdc2021/10076/

https://developer.apple.com/documentation/realitykit/capturing_photographs_for_realitykit_object_capture

https://sketchfab.com/alban/collections/object-capture

https://www.researchgate.net/publication/342521609_CAMERA_PROJECTION_MAPPING_FOR_ENVIRONMENTS_IN_NUKE

https://sketchfab.com/blogs/community/polycam-adds-sketchfab-integration/

3D scanning is becoming more accessible with the LiDAR scanners in the new iPhone 12 Pro and iPad Pro.
Polycam’s integration lets users log in to their Sketchfab account and publish directly to Sketchfab.

rd.nytimes.com/projects/reconstructing-journalistic-scenes-in-3d

Nira is a collaborative platform capable of rendering massive 3D production assets in real time for interactive, web-based review on any device, including smartphones and tablets.

Nira is the perfect solution for entertainment, product design, engineering, and other industries that require secure presentation, review, and organization of digital assets and designs.

nira.app/

https://www.blendernation.com/2015/11/16/instant-meshes-a-free-qaud-based-autoretopology-program/

https://github.com/wjakob/instant-meshes

https://igl.ethz.ch/projects/instant-meshes/

https://fspy.io/

Real-World Measurements for Call of Duty: Advanced Warfare

www.activision.com/cdn/research/Real_World_Measurements_for_Call_of_Duty_Advanced_Warfare.pdf

Local version

Real_World_Measurements_for_Call_of_Duty_Advanced_Warfare.pdf