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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 126–150 of 517 papers

TitleStatusHype
Global Occlusion-Aware Transformer for Robust Stereo MatchingCode1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D PerceptionCode1
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution—0
Depth From Semi-Calibrated Stereo and Defocus—0
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation—0
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture—0
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching—0
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal—0
A shallow feature extraction network with a large receptive field for stereo matching tasks—0
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images—0
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue—0
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo—0
A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery—0
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture—0
An underwater binocular stereo matching algorithm based on the best search domain—0
Deep Stereo Matching with Dense CRF Priors—0
A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning—0
Deep Material-Aware Cross-Spectral Stereo Matching—0
A novel stereo matching pipeline with robustness and unfixed disparity search range—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision—0
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
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