Fast distance computation with a stereo head-eye system

Sang Cheol Park, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a fast method is presented for computing the 3D Euclidean distance with a stereo head-eye system using a disparity map, a vergence angle, and a relative disparity. Our approach is to use the dense disparity for an initial vergence angle and a fixation point for its distance from a center point of two cameras. Neither camera calibration nor prior knowledge is required. The principle of the human visual system is applied to a stereo head-eye system with reasonable assumptions. Experimental results show that the 3D Euclidean distance can be easily estimated from the relative disparity and the vergence angle. The comparison of the estimated distance of objects with their real distance is given to evaluate the performance of the proposed method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTomaso Poggio, Seong-Whan Lee, Heinrich H. Bulthoff
PublisherSpringer Verlag
Pages434-443
Number of pages10
ISBN (Print)3540675604, 9783540675600
DOIs
Publication statusPublished - 2000
Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
Duration: 2000 May 152000 May 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1811
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
Country/TerritoryKorea, Republic of
CitySeoul
Period00/5/1500/5/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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