Title :
Skewed symmetry detection of closed contours based on their geometric properties
Author :
Wen, Wei ; Yuan, Baozong
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
Symmetry is one of apparent features of objects in both the man-made world and nature. In computer vision, finding axes of skewed symmetry is an important task. This paper presents a new algorithm for detecting the skewed symmetry axes of closed contours according to their geometric properties obtained before. The algorithm runs in linear time in the number of contour points without knowing the number of axes of skewed symmetry in advance. The experimental results show that the method we propose is reliable, accurate and quick. The contribution of the paper has many great meanings in recognizing the symmetry of 3-D objects and recovering their structure
Keywords :
computer vision; 3-D objects; closed contours; computer vision; contour points; geometric properties; linear time; man-made world; skewed symmetry detection; Computer vision; Humans; Image coding; Information science; Object detection; Object recognition; Psychology; Reflection; Shape; Visual system;
Conference_Titel :
Computer Architectures for Machine Perception, 1995. Proceedings. CAMP '95
Conference_Location :
Como
Print_ISBN :
0-8186-7134-3
DOI :
10.1109/CAMP.1995.521034
