Stereo Error Detection, Correction, and Evaluation

Authors:
Rakesh Mohan;Gerard Medioni;Ramakant Nevatia
Affiliations:
Univ. of Southern California, Los Angeles;Univ. of Southern California, Los Angeles;Univ. of Southern California, Los Angeles
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1989

Citing 2
Cited 13

Computational Stereo

ACM Computing Surveys (CSUR)
Automated stereo perception

Automated stereo perception

Using Perceptual Organization to Extract 3D Structures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation of Scene Registration and Stereo Matching for Artographic Feature Extraction

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Using Models to Improve Stereo Reconstruction

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Stereo Matching Paradigm Based on the Walsh Transformation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Primitive Hierarchical (MPH) Stereo Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Factors Affecting the Accuracy of an Active Vision Head

SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
People detection and tracking using stereo vision and color

Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling

Journal of Visual Communication and Image Representation
Performance characterization in computer vision: A guide to best practices

Computer Vision and Image Understanding
A multiple object tracking approach that combines colour and depth information using a confidence measure

Pattern Recognition Letters
A Study on Stereo and Motion Data Accuracy for a Moving Platform

Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
Detecting and localising obstacles in front of a moving vehicle using linear stereo vision

Mathematical and Computer Modelling: An International Journal
Real-World stereo-analysis evaluation

Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis

Quantified Score

Hi-index	0.15

Visualization

Abstract

An algorithm is presented for error detection and correction of disparity, as a process separate from stereo matching, with the contention that matching is not necessarily the best way to utilize all the physical constraints characteristic to stereopsis. As a result of the bias in stereo research towards matching, vision tasks like surface interpolation and object modeling have to accept erroneous data from the stereo matchers without the benefits of any intervening stage of error correction. An algorithm which identifies all errors in disparity data that can be detected on the basis of figural continuity and corrects them is presented. The algorithm can be used as a postprocessor to any edged-based stereo matching algorithm, and can additionally be used to automatically provide quantitative evaluations on the performance of matching algorithms of this class.