Proceedings Paper
Using orientation code matching for robust landmark definition and verification| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper aims to propose a new scheme for robust tagging for landmark definition in unknown circumstance using some qualitative evaluations based on Orientation Code representation and matching which has been proposed for robust image registration even in the presence of change in illumination and occlusion. Necessary characteristics for effective tags: richness, similarity, and uniqueness, are considered in order to design an algorithm for tag extraction. These qualitative considerations can be utilized to design simple and robust algorithm for tag definition in combination with the robust image registration algorithm.
Paper Details
Date Published: 25 October 2004
PDF: 10 pages
Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); doi: 10.1117/12.571263
Published in SPIE Proceedings Vol. 5603:
Machine Vision and its Optomechatronic Applications
Shun'ichi Kaneko; Hyungsuck Cho; George K. Knopf; Rainer Tutsch, Editor(s)
PDF: 10 pages
Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); doi: 10.1117/12.571263
Show Author Affiliations
Takayuki Tanaka, Hokkaido Univ. (Japan)
Published in SPIE Proceedings Vol. 5603:
Machine Vision and its Optomechatronic Applications
Shun'ichi Kaneko; Hyungsuck Cho; George K. Knopf; Rainer Tutsch, Editor(s)
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