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Stereo Matching

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

Papers

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Showing 201–225 of 517 papers

TitleStatusHype
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids—0
Quantum Annealing for Computer Vision Minimization Problems—0
Color Agnostic Cross-Spectral Disparity EstimationCode0
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning—0
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline—0
Phase Guided Light Field for Spatial-Depth High Resolution 3D Imaging—0
Polarimetric PatchMatch Multi-View Stereo—0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Learning Parallax for Stereo Event-based Motion Deblurring—0
Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality—0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation—0
DiffuVolume: Diffusion Model for Volume based Stereo Matching—0
Disjoint Pose and Shape for 3D Face Reconstruction—0
Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets—0
Multi-scale Alternated Attention Transformer for Generalized Stereo Matching—0
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching—0
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
StereoVAE: A lightweight stereo-matching system using embedded GPUs—0
Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching—0
A Disparity Refinement Framework for Learning-based Stereo Matching Methods in Cross-domain Setting for Laparoscopic Images—0
Inter-View Depth Consistency Testing in Depth Difference Subspace—0
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