Visual reconstruction
The Computation of Visible-Surface Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Smoothing: A General Tool for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
A Theory of Human Stereo Vision
A Theory of Human Stereo Vision
Computer matching of areas in stereo images.
Computer matching of areas in stereo images.
Automated stereo perception
A Stereo Matching Paradigm Based on the Walsh Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Full Volumetric Descriptions From Three Intensity Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Depth Discontinuities by Pixel-to-Pixel Stereo
International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
A Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth Surfaces
International Journal of Computer Vision
An Area-Based Stereo Matching Using Adaptive Search Range and Window Size
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
The CardEye: A Trinocular Active Vision System
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
A proposed stereo matching algorithm for noisy sets of color images
Computers & Geosciences
Fast nonparametric belief propagation for real-time stereo articulated body tracking
Computer Vision and Image Understanding
Coarse-to-fine stereo vision with accurate 3D boundaries
Image and Vision Computing
Visual surface segmentation from stereo
Image and Vision Computing
Fuzzy multi-criteria decision making in stereovision matching for fish-eye lenses in forest analysis
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
View synthesis using stereo vision
View synthesis using stereo vision
Expert Systems with Applications: An International Journal
Performance of correlation-based stereo algorithm with respect to the change of the window size
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Handling occlusion in object tracking in stereoscopic video sequences
Mathematical and Computer Modelling: An International Journal
Fuzzy control for obstacle detection in stereo video sequences
Mathematical and Computer Modelling: An International Journal
SimCrane 3D+: A crane simulator with kinesthetic and stereoscopic vision
Advanced Engineering Informatics
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A stereo vision system that attempts to achieve robustness with respect to scene characteristics, from textured outdoor scenes to environments composed of highly regular man-made objects is presented. It integrates area-based and feature-based primitives. The area-based processing provides a dense disparity map, and the feature-based processing provides an accurate location of discontinuities. An area-based cross correlation, an ordering constraint, and a weak surface smoothness assumption are used to produce an initial disparity map. This disparity map is only a blurred version of the true one because of the smoothing introduced by the cross correlation. The problem can be reduced by introducing edge information. The disparity map is smoothed and the unsupported points removed. This method gives an active role to edgels parallel to the epipolar lines, whereas they are discarded in most feature-based systems. Very good results have been obtained on complex scenes in different domains.