DocumentCode
864939
Title
Boundary extraction using statistical shape descriptor
Author
Choi, Hae Chul ; Kim, Seong Dae
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Volume
38
Issue
22
fYear
2002
fDate
10/24/2002 12:00:00 AM
Firstpage
1330
Lastpage
1332
Abstract
An algorithm is proposed for extracting an object boundary from a low-quality image obtained by infrared sensors. With the training data set, the global shape is modelled by incorporating the statistical curvature model into the point distribution model (PDM). Simulation results show better performance than the PDM in the sense of computation speed and distortion under noise, pose variation and some kinds of occlusions.
Keywords
feature extraction; infrared imaging; statistical analysis; Bayesian objective function; global shape; infrared sensors; low-quality image; object boundary extraction; occlusions; pattern recognition; point distribution model; pose variation; statistical curvature model; statistical shape descriptor; training data set;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20020918
Filename
1047078
Link To Document