Stereo Matching

147 papers with code • 0 benchmarks • 18 datasets

Stereo Matching is one of the core technologies in computer vision, which recovers 3D structures of real world from 2D images. It has been widely used in areas such as autonomous driving, augmented reality and robotics navigation. Given a pair of rectified stereo images, the goal of Stereo Matching is to compute the disparity for each pixel in the reference image, where disparity is defined as the horizontal displacement between a pair of corresponding pixels in the left and right images.

Source: Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

Libraries

Use these libraries to find Stereo Matching models and implementations

Neural Markov Random Field for Stereo Matching

aeolusguan/NMRF 17 Mar 2024

Stereo matching is a core task for many computer vision and robotics applications.

28
17 Mar 2024

Robust Synthetic-to-Real Transfer for Stereo Matching

jiaw-z/dkt-stereo 12 Mar 2024

With advancements in domain generalized stereo matching networks, models pre-trained on synthetic data demonstrate strong robustness to unseen domains.

20
12 Mar 2024

Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching

windsrain/selective-stereo 1 Mar 2024

Stereo matching methods based on iterative optimization, like RAFT-Stereo and IGEV-Stereo, have evolved into a cornerstone in the field of stereo matching.

24
01 Mar 2024

Digging Into Normal Incorporated Stereo Matching

Magicboomliu/NINet ACM International Conference on Multimedia 2022

To enhance geometric consistency, especially in low-texture regions, the estimated normal map is then leveraged to calculate a local affinity matrix, providing the residual learning with information about where the correction should refer and thus improving the residual learning efficiency.

4
28 Feb 2024

DCVSMNet: Double Cost Volume Stereo Matching Network

m2219/dcvsmnet 26 Feb 2024

We introduce Double Cost Volume Stereo Matching Network(DCVSMNet) which is a novel architecture characterised by by two small upper (group-wise) and lower (norm correlation) cost volumes.

2
26 Feb 2024

Depth-aware Volume Attention for Texture-less Stereo Matching

ztsrxh/DVANet 14 Feb 2024

Furthermore, we propose a more rigorous evaluation metric that considers depth-wise relative error, providing comprehensive evaluations for universal stereo matching and depth estimation models.

13
14 Feb 2024

Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy

nasa-jpl/guiss 23 Jan 2024

The surface reflectance properties of icy moon terrains (Enceladus and Europa) are inferred from multispectral datasets of previous missions.

2
23 Jan 2024

RomniStereo: Recurrent Omnidirectional Stereo Matching

halleyjiang/romnistereo 9 Jan 2024

To bridge the gap between OSM and RAFT, we mainly propose an opposite adaptive weighting scheme to seamlessly transform the outputs of spherical sweeping of OSM into the required inputs for the recurrent update, thus creating a recurrent omnidirectional stereo matching (RomniStereo) algorithm.

15
09 Jan 2024

S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery

cveo/s3net 3 Jan 2024

Stereo matching and semantic segmentation are significant tasks in binocular satellite 3D reconstruction.

8
03 Jan 2024

BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery

jingweisong/bdis-slam 25 Dec 2023

Conclusion: The proposed BDIS-SLAM is a lightweight stereo dense SLAM system for MIS.

11
25 Dec 2023