DocumentCode :
2316592
Title :
A Local √3-Subdivision Algorithm preserving Sharp Features
Author :
Yu, Ruiguo ; Liu, Zeyi ; Liu, Ying
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ.
fYear :
2006
fDate :
5-8 Dec. 2006
Firstpage :
1
Lastpage :
6
Abstract :
A local √3-subdivision algorithm to rebuild sharp features is presented. Adaptive subdivision is performed only in the areas facing to the viewpoint in the pre-process. And in each adaptive subdivision, we choose the normal angle Θ of the adjacent faces as the control error to detect whether or not the approximation is sufficient. Sharp edges are automatically tagged according to the given threshold Θ and subdivision masks are designed based on different sharp degrees. Experimental results indicate that the algorithm requires less memory but keeps sharp features better
Keywords :
edge detection; feature extraction; adaptive subdivision algorithm; sharp degree; sharp edge; sharp feature; subdivision mask; Adaptive control; Automatic control; Computational efficiency; Computer graphics; Computer science; Educational institutions; Error correction; Face detection; Programmable control; Topology; √3 -subdivision; adaptive subdivision; sharp degree; sharp feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
Type :
conf
DOI :
10.1109/ICARCV.2006.345125
Filename :
4150035
Link To Document :
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