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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 201–250 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 BaselineCode0
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
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—0
Learning Adaptive Dense Event Stereo From the Image Domain—0
Deep Learning of Partial Graph Matching via Differentiable Top-KCode0
High-Frequency Stereo Matching Network—0
Parameterized Cost Volume for Stereo Matching—0
Masked Representation Learning for Domain Generalized Stereo Matching—0
Domain Generalized Stereo Matching via Hierarchical Visual Transformation—0
Image-Coupled Volume Propagation for Stereo Matching—0
Efficient stereo matching on embedded GPUs with zero-means cross correlationCode0
Real-Time High-Quality Stereo Matching System on a GPU—0
Self-Supervised Intensity-Event Stereo Matching—0
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
Comparison of Stereo Matching Algorithms for the Development of Disparity Map—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images—0
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching—0
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks—0
Pseudo-LiDAR for Visual Odometry—0
STS: Surround-view Temporal Stereo for Multi-view 3D Detection—0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingCode0
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras—0
Robust and accurate depth estimation by fusing LiDAR and Stereo—0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?—0
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