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Proceedings Paper

Object detection based on multiscale discrete points sampling and grouping
Author(s): Zongxiao Zhu; Guoyou Wang; Jianguo Liu
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Paper Abstract

The topology information of a grey picture can be carried by a series of discrete points with a different number of points representing different dimensions of information. Our human brain can easily group these points and perceive information with different dimensions. In this paper, we present how to use multi-scale discrete points to segment, extrude and detect objects. Those points are divided into yin points and yang points, according to their position in a digital picture. We also use a method based on peripheral direction contributions to group these points for the purpose of round building detection and road detection. Primary experimental results show that our ways and means can be used in several representative applications of object detection with a laudable performance.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749506 (30 October 2009); doi: 10.1117/12.833575
Show Author Affiliations
Zongxiao Zhu, Huazhong Univ. of Science and Technology (China)
South-Central Univ. for Nationalities (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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