DocumentCode
2341376
Title
A Simplification Error Metric Descriptor Based on Texture Maintenance
Author
Fang Wan ; Fazhi He ; Chen Feng ; Fei Deng
Author_Institution
Sch. of Comput. Sci., Wuhan Univ., Wuhan, China
fYear
2010
fDate
23-25 April 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, we present a new error metric descriptor based on the QEM algorithm to simplify the geometry model with texture. The descriptor takes weight of curvature of the vertex as one of the influential factor. Also, the descriptor takes into account the visual importance of each edge which is attached to the model through edge detection algorithm of image processing. In this way, the simplification can make the sharp-simplified model keep a similar appearance and shape feature. Meanwhile, for the descriptor is extended from the QEM error metric and can also be acquired with its matrix computing, the algorithm is with good speed and high performance.
Keywords
computational geometry; curve fitting; edge detection; image texture; matrix algebra; QEM algorithm; QEM error metric; edge detection algorithm; geometry model; image processing; matrix computing; shape feature; sharp-simplified model; simplification error metric descriptor; texture maintenance; vertex curvature; Computational geometry; Computer errors; Computer science; Geodesy; Helium; High performance computing; Image edge detection; Image processing; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5315-3
Type
conf
DOI
10.1109/ICBECS.2010.5462489
Filename
5462489
Link To Document