Title :
An expression approach of special directional relation
Author :
Wang Yu-fan ; Geng Xing-long ; Li Li-ping ; Guo Chun-lei
Author_Institution :
Hebei Software Inst., Baoding, China
Abstract :
Spatial relations among image objects play a vital role in the domains of computer vision, but the expression method of special directional relation has not been the subject of as much investigation. In this paper we propose a fuzzy model of special directional relation to describe `surround´ and `between´. The new expression method to judge special directional relation based on F-histogram (Force histogram) is described in detail. The experimental results show that the model can get close to the verdict like human cognition for special directional relation.
Keywords :
computer vision; object detection; Force histogram; computer vision; expression approach; human cognition; image objects; spatial relations; special directional relation; Cognition; Computational modeling; Computer vision; Force; Geographic information systems; Histograms; Visualization; F-histogram; between; special directional relation; surround;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an