DocumentCode
3061470
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
fYear
1995
fDate
18-20 Sep 1995
Firstpage
161
Lastpage
168
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architectures for Machine Perception, 1995. Proceedings. CAMP '95
Conference_Location
Como
Print_ISBN
0-8186-7134-3
Type
conf
DOI
10.1109/CAMP.1995.521034
Filename
521034
Link To Document