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Category: photography
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Fast, optimized ‘for’ pixel loops with OpenCV and Python to create tone mapped HDR images
https://pyimagesearch.com/2017/08/28/fast-optimized-for-pixel-loops-with-opencv-and-python/
https://learnopencv.com/exposure-fusion-using-opencv-cpp-python/
Exposure Fusion is a method for combining images taken with different exposure settings into one image that looks like a tone mapped High Dynamic Range (HDR) image.
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HDRI Resources
Text2Light
- https://www.cgtrader.com/free-3d-models/exterior/other/10-free-hdr-panoramas-created-with-text2light-zero-shot
- https://frozenburning.github.io/projects/text2light/
- https://github.com/FrozenBurning/Text2Light
Royalty free links
- https://locationtextures.com/panoramas/
- http://www.noahwitchell.com/freebies
- https://polyhaven.com/hdris
- https://hdrmaps.com/
- https://www.ihdri.com/
- https://hdrihaven.com/
- https://www.domeble.com/
- http://www.hdrlabs.com/sibl/archive.html
- https://www.hdri-hub.com/hdrishop/hdri
- http://noemotionhdrs.net/hdrevening.html
- https://www.openfootage.net/hdri-panorama/
- https://www.zwischendrin.com/en/browse/hdri
Nvidia GauGAN360
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What is the Light Field?
http://lightfield-forum.com/what-is-the-lightfield/
The light field consists of the total of all light rays in 3D space, flowing through every point and in every direction.
How to Record a Light Field
- a single, robotically controlled camera
- a rotating arc of cameras
- an array of cameras or camera modules
- a single camera or camera lens fitted with a microlens array
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3D Stereoscopic Photography – SPM/DMAG Free automatic depth map from stereo photos generation
http://3dstereophoto.blogspot.com/p/software.html
http://3dstereophoto.blogspot.com/2015/06/depth-map-automatic-generator-7-dmag7.html
Automatic depth map generation, stereo matching, multi-view stereo, Structure from Motion (SfM), photogrammetry, 2d to 3d conversion, etc.
Software to
– create depth maps from stereo pairs (stereo matching),
– generate intermediate synthetic views (lenticular),
– create depth maps from multiple views (multi-view stereo matching),
– create dense 3D reconstruction (point cloud) from multiple views (structure from motion and multi-view stereo),
– perform 2D to 3D image conversion (stereo conversion),
– perform edge-preserving smoothing,
– rectify/align stereo pairs
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