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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 401–450 of 517 papers

TitleStatusHype
Depth Refinement for Improved Stereo Reconstruction—0
Detecting Ground Control Points via Convolutional Neural Network for Stereo Matching—0
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras—0
DiffuVolume: Diffusion Model for Volume based Stereo Matching—0
Direct Depth Learning 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
Disjoint Pose and Shape for 3D Face Reconstruction—0
Displacement-Invariant Cost Computation for Efficient Stereo Matching—0
Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Domain Generalized Stereo Matching via Hierarchical Visual Transformation—0
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems—0
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios—0
DSVO: Direct Stereo Visual Odometry—0
Du^2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels—0
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual—0
Efficient and accurate monitoring of the depth information in a Wireless Multimedia Sensor Network based surveillance—0
Efficient High-Resolution Stereo Matching using Local Plane Sweeps—0
Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives—0
End-to-End 3D Hand Pose Estimation from Stereo Cameras—0
End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences—0
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo—0
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching—0
Entropy-difference based stereo error detection—0
Epipolar Geometry Based On Line Similarity—0
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision—0
Expanding Sparse Guidance for Stereo Matching—0
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality—0
Fast 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation—0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
Fast Non-local Stereo Matching based on Hierarchical Disparity Prediction—0
Fine-tuning deep learning models for stereo matching using results from semi-global matching—0
FoggyStereo: Stereo Matching With Fog Volume Representation—0
FPGA-based Binocular Image Feature Extraction and Matching System—0
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications—0
Generalizable Novel-View Synthesis using a Stereo Camera—0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation—0
Genetic Stereo Matching Algorithm with Fuzzy Fitness—0
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching—0
Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving—0
Ghost-Stereo: GhostNet-based Cost Volume Enhancement and Aggregation for Stereo Matching Networks—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
Graph Cut based Continuous Stereo Matching using Locally Shared Labels—0
Gromov-Wasserstein Problem with Cyclic Symmetry—0
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