TRINOCULAR VISION: NEW APPROACH FOR CORRESPONDENCE PROBLEM.

Masahiko Yachida, Yoshifumi Kitamura, Masatoshi Kimachi

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

49 Citations (Scopus)

Abstract

For the recognition of three-dimensional (3-D) shape and measurement of 3-D position of objects, it is important that a vision system be able to measure the 3-D data on dense points in the scene. One approach is to measure the distance on the basis of the triangulation principle from the disparity of two images. This stereo method encounters difficulties in finding correspondence of features between two images. This correspondence problem can be solved geometrically by adding one more camera, that is, by trinocular vision. The principles and implementation details of this trinocular vision approach are outlined.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages1041-1044
Number of pages4
ISBN (Print)0818607424
Publication statusPublished - 1986 Dec 1
Externally publishedYes

Publication series

NameProceedings - International Conference on Pattern Recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Yachida, M., Kitamura, Y., & Kimachi, M. (1986). TRINOCULAR VISION: NEW APPROACH FOR CORRESPONDENCE PROBLEM. In Proceedings - International Conference on Pattern Recognition (pp. 1041-1044). (Proceedings - International Conference on Pattern Recognition). IEEE.