[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
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Updated
Jul 2, 2021 - Python
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
single and stereo calibration, disparity calculation.
A curated list of awesome Deep Stereo Matching resources
PathMatch is the state-of-the-art stereo match algorithm framework.
Disparity maps using various algorithms
The PatchMatch stereo match algorithm implemented by CUDA.
A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping
ROS node to create pointcloud out of stereo images from the KITTI Vision Benchmark Suite
"Rectifying Homographies for Stereo Vision: Analytical Solution for Minimal Distortion": algorithm to compute the optimal rectifying homographies that minimise perspective distortion.
ROS package for local obstacle avoidance using stereo RGB cameras on the Jackal
Small test bed for some basic stereo algorithms
MVL Stereo Toolbox
Depth Estimation for Embedded Devices using USB3.0 stereo camera
A DSP component for foobar2000 which narrows the width of stereo panning.
This repo contains the code for Stereo Dense Reconstruction, Given the Stereo image pairs find the deapth of map of images and from that generate the point cloud of scene.
Point Cloud Reproduction from Stereoimages.
Codes written for assignments of CS60052 (Spring'20)
Different approaches to speed up disparity calculation via concurrency
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