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Stereo Matching Hand

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Showing 1–50 of 163 papers

TitleStatusHype
Group-wise Correlation Stereo NetworkCode1
Pyramid Stereo Matching NetworkCode1
Stereo Matching by Training a Convolutional Neural Network to Compare Image PatchesCode1
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
Epipolar Geometry Based On Line Similarity—0
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality—0
Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching—0
Efficient High-Resolution Stereo Matching using Local Plane Sweeps—0
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching—0
Entropy-difference based stereo error detection—0
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model—0
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision—0
A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images—0
Deep Material-Aware Cross-Spectral Stereo Matching—0
Accurate Optical Flow via Direct Cost Volume Processing—0
A Weighted Sparse Coding Framework for Saliency Detection—0
A Closed-Form Solution to Tensor Voting: Theory and Applications—0
3D Hand Pose Tracking and Estimation Using Stereo Matching—0
Efficient and accurate monitoring of the depth information in a Wireless Multimedia Sensor Network based surveillance—0
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images—0
100+ Times Faster Weighted Median Filter (WMF)—0
Fully Parallel Architecture for Semi-global Stereo Matching with Refined Rank Method—0
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching—0
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs—0
Confidence Inference for Focused Learning in Stereo Matching—0
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching—0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
CV-HAZOP: Introducing Test Data Validation for Computer Vision—0
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs—0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
Deep Stereo Matching with Dense CRF Priors—0
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture—0
Automated 3D recovery from very high resolution multi-view satellite images—0
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture—0
Depth From Semi-Calibrated Stereo and Defocus—0
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Depth Reconstruction from Sparse Samples: Representation, Algorithm, and Sampling—0
Detecting Ground Control Points via Convolutional Neural Network for Stereo Matching—0
Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching—0
Direction Matters: Depth Estimation With a Surface Normal Classifier—0
Direct Monocular Odometry Using Points and Lines—0
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space—0
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios—0
CATS: A Color and Thermal Stereo Benchmark—0
DSVO: Direct Stereo Visual Odometry—0
DISCO: Depth Inference from Stereo using Context—0
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