Object detection based on multiscale discrete points sampling and grouping

Zongxiao Zhu; Guoyou Wang; Jianguo Liu

doi:10.1117/12.833575

30 October 2009 Object detection based on multiscale discrete points sampling and grouping

Zongxiao Zhu, Guoyou Wang, Jianguo Liu

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749506 (2009) https://doi.org/10.1117/12.833575
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Zongxiao Zhu, Guoyou Wang, and Jianguo Liu "Object detection based on multiscale discrete points sampling and grouping", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749506 (30 October 2009); https://doi.org/10.1117/12.833575

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