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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 301–325 of 517 papers

TitleStatusHype
Tree-based iterated local search for Markov random fields with applications in image analysis—0
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching—0
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion—0
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching—0
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems—0
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning—0
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching—0
Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching—0
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching—0
UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—0
Unsupervised Learning of Stereo Matching—0
Unsupervised monocular stereo matching—0
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model—0
UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching—0
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors—0
Virtual Blood Vessels in Complex Background using Stereo X-ray Images—0
Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching—0
Visually Imbalanced Stereo Matching—0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation—0
WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching—0
Wide baseline stereo matching with convex bounded-distortion constraints—0
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints—0
Widening siamese architectures for stereo matching—0
NLCA-Net v2 for Stereo Matching in ECCV'20 Robust Vision Challenge—0
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