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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
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching—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
Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery—0
A shallow feature extraction network with a large receptive field for stereo matching tasks—0
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues—0
Landmark Stereo Dataset for Landmark Recognition and Moving Node Localization in a Non-GPS Battlefield Environment—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle—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
Intention-driven Ego-to-Exo Video Generation—0
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning—0
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture—0
An underwater binocular stereo matching algorithm based on the best search domain—0
Innovative 3D Depth Map Generation From A Holoscopic 3D Image Based on Graph Cut Technique—0
Image-Coupled Volume Propagation for Stereo Matching—0
Deep Stereo Matching with Dense CRF Priors—0
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform—0
Hyperspectral Light Field Stereo Matching—0
Deep Material-Aware Cross-Spectral Stereo Matching—0
A novel stereo matching pipeline with robustness and unfixed disparity search range—0
A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
HyperDepth: Learning Depth From Structured Light Without Matching—0
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry—0
High-Resolution Depth Maps Based on TOF-Stereo Fusion—0
High-precision target positioning system for unmanned vehicles based on binocular vision—0
Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup—0
High-Frequency Stereo Matching Network—0
Inter-View Depth Consistency Testing in Depth Difference Subspace—0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization—0
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs—0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks—0
CV-HAZOP: Introducing Test Data Validation for Computer Vision—0
Gromov-Wasserstein Problem with Cyclic Symmetry—0
Cross-Modality 3D Object Detection—0
Learning Adaptive Dense Event Stereo From the Image Domain—0
Graph Cut based Continuous Stereo Matching using Locally Shared Labels—0
Learning Dense Wide Baseline Stereo Matching for People—0
Co-Teaching: An Ark to Unsupervised Stereo Matching—0
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
Ghost-Stereo: GhostNet-based Cost Volume Enhancement and Aggregation for Stereo Matching Networks—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
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