JOURNAL ARTICLE

<title>Vergence control system for stereo depth recovery</title>

Luís JiménezÓscar ReinosoRafaél AracilFernando TorresJ.M. Sebastián

Year: 1999 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3652 Pages: 232-241   Publisher: SPIE

Abstract

This paper describes a vergence control algorithm for a 3D stereo recovery system. This work has been developed within framework of the project ROBTET. This project has the purpose of designing a Teleoperated Robotic System for live power lines maintenance. The tasks involved suppose the automatic calculation of path for standard tasks, collision detection to avoid electrical shocks, force feedback and accurate visual data, and the generation of collision free real paths. To accomplish these tasks the system needs an exact model of the environment that is acquired through an active stereoscopic head. A cooperative algorithm using vergence and stereo correlation is shown. The proposed system is carried out through an algorithm based on the phase correlation, trying to keep the vergence on the interest object. The sharp vergence changes produced by the variation of the interest objects are controlled through an estimation of the depth distance generated by a stereo correspondence system. In some elements of the scene, those aligned with the epipolar plane, large errors in the depth estimation as well as in the phase correlation, are produced. To minimize these errors a laser lighting system is used to help fixation, assuring an adequate vergence and depth extraction.

Keywords:
Vergence (optics) Computer vision Epipolar geometry Artificial intelligence Computer science Stereoscopy Stereopsis Stereo camera Stereo cameras Image (mathematics)

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FWCI (Field Weighted Citation Impact)
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Refs
0.10
Citation Normalized Percentile
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Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Optical Imaging Technologies
Physical Sciences →  Engineering →  Media Technology
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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