Practical region-based matching for stereo vision

Brian McKinnon; Jacky Baltes

doi:10.1007/978-3-540-30503-3_56

Practical region-based matching for stereo vision

Brian McKinnon^*, Jacky Baltes

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Using stereo vision in the field of mapping and localization is an intuitive idea, as demonstrated by the number of animals that have developed the ability. Though it seems logical to use vision, the problem is a very difficult one to solve. It requires the ability to identify objects in the field of view, and classify their relationship to the observer. A procedure for extracting and matching object data using a stereo vision system is introduced, and initial results are provided to demonstrate the potential of this system.

Original language	English
Pages (from-to)	726-738
Number of pages	13
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3322
DOIs	https://doi.org/10.1007/978-3-540-30503-3_56
Publication status	Published - 2004
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-30503-3_56

Cite this

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AB - Using stereo vision in the field of mapping and localization is an intuitive idea, as demonstrated by the number of animals that have developed the ability. Though it seems logical to use vision, the problem is a very difficult one to solve. It requires the ability to identify objects in the field of view, and classify their relationship to the observer. A procedure for extracting and matching object data using a stereo vision system is introduced, and initial results are provided to demonstrate the potential of this system.

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ER -

Practical region-based matching for stereo vision

Abstract

ASJC Scopus subject areas

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