Title
Searching And Fitting Strategies In Active Shape Models
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.
Year
Venue
Keywords
2007
ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL SPSMC: SIGNAL PROCESSING, SYSTEMS MODELING AND CONTROL
active shape model, shape parameter, self-adjustment, active searching, image fitting, outlying points
Field
DocType
Citations 
Active shape model,Control engineering,Engineering
Conference
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Jianhua Zhang1895.89
Sheng-Yong Chen21077114.06
Sheng Liu358.58
Qiu Guan4439.92
Haihong Wu500.34