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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

Showing 151200 of 517 papers

TitleStatusHype
CV-HAZOP: Introducing Test Data Validation for Computer Vision0
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds0
Cross-Modality 3D Object Detection0
Co-Teaching: An Ark to Unsupervised Stereo Matching0
Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup0
Intention-driven Ego-to-Exo Video Generation0
Analysis of different disparity estimation techniques on aerial stereo image datasets0
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping0
3D Scene Geometry Estimation from 360^ Imagery: A Survey0
Fully Parallel Architecture for Semi-global Stereo Matching with Refined Rank Method0
Generalizable Novel-View Synthesis using a Stereo Camera0
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images0
FPGA-based Binocular Image Feature Extraction and Matching System0
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks0
Innovative 3D Depth Map Generation From A Holoscopic 3D Image Based on Graph Cut Technique0
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning0
Inter-View Depth Consistency Testing in Depth Difference Subspace0
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks0
Consistency-aware Self-Training for Iterative-based Stereo Matching0
Confidence Inference for Focused Learning in Stereo Matching0
All-in-One: Transferring Vision Foundation Models into Stereo Matching0
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry0
3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks0
HyperDepth: Learning Depth From Structured Light Without Matching0
Hyperspectral Light Field Stereo Matching0
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality0
Expansion of Visual Hints for Improved Generalization in Stereo Matching0
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching0
Expanding Sparse Guidance for Stereo Matching0
Comparison of Stereo Matching Algorithms for the Development of Disparity Map0
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision0
Fast 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation0
A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation0
Fast Non-local Stereo Matching based on Hierarchical Disparity Prediction0
Fine-tuning deep learning models for stereo matching using results from semi-global matching0
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching0
FoggyStereo: Stereo Matching With Fog Volume Representation0
High-Resolution Depth Maps Based on TOF-Stereo Fusion0
A Learned Stereo Depth System for Robotic Manipulation in Homes0
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications0
A Comparative Evaluation of SGM Variants (including a New Variant, tMGM) for Dense Stereo Matching0
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform0
Gaussian Mixture based Evidential Learning for Stereo Matching0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation0
Genetic Stereo Matching Algorithm with Fuzzy Fitness0
Epipolar Geometry Based On Line Similarity0
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