DocumentCode :
1538195
Title :
Graph-based method for face identification from a single 2D line drawing
Author :
Liu, Jianzhuang ; Lee, Yong Tsui
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume :
23
Issue :
10
fYear :
2001
fDate :
10/1/2001 12:00:00 AM
Firstpage :
1106
Lastpage :
1119
Abstract :
The faces in a 2D fine drawing of an object provide important information for the reconstruction of its 3D geometry. In this paper, a graph-based optimization method is proposed for identifying the faces is a line drawing. The face identification is formulated as a maximum weight clique problem. This formulation is proven to be equivalent to the formulation proposed by Shpitalni and Upson (1996). The advantage of our formulation is that it enables one to develop a much faster algorithm to find the faces in a drawing. The significant improvement in speed is derived from two algorithms provided: the depth-first graph search for quickly generating possible faces from a drawing; and the maximum weight clique finding for obtaining the optimal face configurations of the drawing. The experimental results shown that our algorithm generates the same results of face identification as Shpitalni and Lipson´s method, but is much faster when dealing with objects of more than 20 faces
Keywords :
graph theory; image reconstruction; object recognition; optimisation; search problems; stereo image processing; 2D line drawing; 3D object reconstruction; depth-first search; graph algorithms; line drawing interpretation; maximum weight clique; Application software; Computational geometry; Computer Society; Computer vision; Design automation; Face detection; Humans; Information geometry; Object recognition; Optimization methods;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.954601
Filename :
954601
Link To Document :
بازگشت