Abstract | ||
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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 |
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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 Zhang | 1 | 89 | 5.89 |
Sheng-Yong Chen | 2 | 1077 | 114.06 |
Sheng Liu | 3 | 5 | 8.58 |
Qiu Guan | 4 | 43 | 9.92 |
Haihong Wu | 5 | 0 | 0.34 |