Digital Image Correlation & Digital Volume Correlation Library
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Updated
Jul 3, 2024 - C++
Digital Image Correlation & Digital Volume Correlation Library
open Multi-View Stereo reconstruction library
CUDA belief propagation as presented in paper "GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction" published at the 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). Code has been updated to work on current NVIDIA GPUs and with additional optimizations. Cite paper if using this code.
libStereoMatch is a universal stereo matching library. This library is developed using C++and divides the stereo matching steps into four steps: cost calculation, cost aggregation, disparity calculation, and disparity optimization. Users can build their own stereo matching algorithms through combination.
EMVS (Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets)
Poisson Disk Sampling with Randomized Satellite Points for Projected Texture Stereo
Implements the sparse stereo method Global Patch Collider by Shenlong Wang et al, CVPR 2016
Given a scene composed of mesh instances and a pair of reference view and source view, this project generates pixelwise correspondence between these views.
This is my personal implementation of some functions seen during the course of artificial vision. Basically, in this code are been re-implemented some of the very basic functions of OpenCV
A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.
This library provides an easy and accessible way to read and write .pfm files in C++ by only relying on the sandard library.
PatchMatchStereo,倾斜窗口经典,效果极佳,OpenMVS&Colmap稠密匹配算法。完整实现,代码规范,注释清晰,博客教学,欢迎star!
Code for 'Segment-based Disparity Refinement with Occlusion Handling for Stereo Matching'
Implements a variation of the semi-dense stereo method "High-Performance and Tunable Stereo Reconstruction" by Sudeep Pillai et al. For sparse matches, the Global Patch Collider (GPC) is used.
Continuous 3D Label Stereo Matching using Local Expansion Moves (TPAMI 2018)
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