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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 476–500 of 517 papers

TitleStatusHype
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow EstimationCode0
Learning Depth with Convolutional Spatial Propagation NetworkCode0
LeanStereo: A Leaner Backbone based Stereo NetworkCode0
Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgeryCode0
Color Agnostic Cross-Spectral Disparity EstimationCode0
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence LearningCode0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo visionCode0
Unsupervised Stereo Matching Network For VHR Remote Sensing Images Based On Error PredictionCode0
Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded DevicesCode0
A Decomposition Model for Stereo MatchingCode0
ASV: Accelerated Stereo Vision SystemCode0
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100Code0
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth PredictionCode0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
Single View Stereo MatchingCode0
Real-Time Variational Fisheye Stereo without Rectification and UndistortionCode0
Adaptive Unimodal Cost Volume Filtering for Deep Stereo MatchingCode0
Distilling Stereo Networks for Performant and Efficient Leaner NetworksCode0
Hierarchical Discrete Distribution Decomposition for Match Density EstimationCode0
Hierarchical Deep Stereo Matching on High-resolution ImagesCode0
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
Rethinking the Key Factors for the Generalization of Remote Sensing Stereo Matching NetworksCode0
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo MatchingCode0
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