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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zheng Li Xiaonan Luo Chengying Gao |
| Copyright Year | 2006 |
| Description | Author affiliation: Sun Yat-Sen Univ., Guangzhou (Zheng Li; Xiaonan Luo; Chengying Gao) |
| Abstract | In this paper, we present a novel approach to the problem of curve alignment, which measures and matches the similarity of two curves. Our method extracts curve features with high priorities given to salient and general features, and therefore leads to a satisfied result that meets human being's perceptions. We investigate the bimorphism in the level of sub-segment correspondences to ensure symmetric mapping. A solution to closed curve alignment is also given. Finally, the coarse-to-fine aligning algorithm is introduced to match curves under different resolutions. The experiments showed satisfying and approving results, that our approach can capture the curve features and align them properly |
| Sponsorship | IEEE CPS |
| Starting Page | 357 |
| Ending Page | 360 |
| File Size | 308453 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.830 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Humans Image segmentation Sun Geometry Object recognition Skeleton Character recognition Distortion measurement Pattern recognition coarse-to-fine algorithm Curve alignment feature extraction feature correspondence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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