DocumentCode :
2543394
Title :
Curvature Scale Space Technique in Computer Vision: Basic Concept and Theoretical Developments
Author :
Zhong, Baojiang ; Ma, Kai-Kuang ; Liu, Wenzhong
Author_Institution :
Dept. of Math., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
4-6 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Scale space techniques have attracted much attention in the field of computer vision and image processing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number of nice properties. In this paper the scale space concept is first explained in detail and its significance in solving shape-based vision problems is clarified. A brief survey of the theoretical developments of the CSS technique in the past few decades is then presented.
Keywords :
computer vision; image representation; MPEG-7 standard; computer vision; corner detection; curvature scale space; curve evolution; image processing; shape representation; shape-based vision problem; Cascading style sheets; Computer vision; Image processing; Laboratories; MPEG 7 Standard; Mathematics; Shape; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
Type :
conf
DOI :
10.1109/CCPR.2009.5344122
Filename :
5344122
Link To Document :
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