Authors:
Jianhua Zhang
1
;
S. Y. Chen
2
;
Sheng Liu
1
;
Qiu Guan
1
and
Haihong Wu
1
Affiliations:
1
College of Information Engineering, Zhejiang University of Technology, China
;
2
University of Hamburg, Germany
Keyword(s):
Active Shape Model, shape parameter, self-adjustment, active searching, image fitting, outlying points.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Information-Based Models for Control
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
Abstract:
The Active Shape Model (ASM) is an ever-increasingly important method for object modelling, shape recognition, and image localization. However, when the target is not clarity, or the initial model placed very far from the target, ASM may have problem to locate on an acceptable result. In this paper, a new strategy is proposed on the ASM searching and fitting procedure, which forms an active searching method. Using this new strategy, the influence of the clarity of the target and initial position of the model is reduced and the result of the fitting is more accuracy. Experiments and results show that the new strategy are effective for improving the performance of the image fitting.