Object detection based on multiscale discrete points sampling and grouping
Zongxiao Zhu, Guoyou Wang, Jianguo Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.