disparity

🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

Pytorch version of SfmLearner from Tinghui Zhou et al.

这是一个基于CUDA加速的快速立体匹配库，它的核心是SemiglobalMatching（SGM）算法，它不仅在时间效率上要远远优于基于CPU的常规SGM，而且占用明显更少的内存，这意味着它不仅可以在较低分辨率（百万级）图像上达到实时的帧率，且完全具备处理千万级甚至更高量级图像的能力。

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Keras code of my ICRA 2018 paper "Fast Disparity Estimation using Dense Networks"

Attention-based View Selection Networks for Light-field Disparity Estimation

simplified struct2depth in PyTorch

depth map computation

In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of obje…

DispNet3, FlowNet3, FlowNetH, SceneFlowNet -- in Docker

Measuring disparity with R

Computes various geospatial indices of socioeconomic deprivation and disparity in the United States

planar fitting computation using stereo vision techniques

Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.

Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)

C++ implementation of PatchMatch Stereo for images

Improved-PSMNet: Combining PSM, group-wise corr, dilatedResNet, segmentation to estimate accurate disparity of stereo image pairs efficiently.

viewer for disparity data in npy file format

3D reconstruction based on stereo event-camera data, 2020SoSe, TU Berlin