Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features
文献类型：会议论文
| 作者 | Cai HY(蔡慧英); Zhu F(朱枫) ; Hao YM(郝颖明); Lu RR(鲁荣荣)
|
| 出版日期 | 2016 |
| 会议名称 | International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control |
| 会议日期 | May 9-11, 2016 |
| 会议地点 | Beijing |
| 关键词 | Shape matching Affine transformation shape normalization Multi-scale area integral features |
| 页码 | 1-7 |
| 通讯作者 | 蔡慧英 |
| 中文摘要 | Shape Matching under Affine Transformation (SMAT) is an important issue in shape analysis. Most of the existing SMAT methods are sensitive to noise or complicated because they usually need to extract the edge points or compute the high order function of the shape. To solve these problems, a new SMAT method which combines the low order shape normalization and the multi-scale area integral features is proposed. First, the shapes with affine transformation are normalized into their orthogonal representations according to the moments and an equivalent resample. This procedure transforms the shape by several linear operations: translations, scaling, and rotation, following by a resample operation. Second, the Multi-Scale Area Integral Features (MSAIF) of the shapes which are invariant to the orthogonal transformation (rotation and reflection transformation) are extracted. The MSAIF is a signature achieved through concatenating the area integral feature at a range of scales from fine to coarse. The area integral feature is an integration of the feature values, which are computed by convoluting the shape with an isotropic kernel and taking the complement, over the shape domain following by the normalization using the area of the shape. Finally, the matching of different shapes is performed according to the dissimilarity which is measured with the optimal transport distance. The performance of the proposed method is tested on the car dataset and the multi-view curve dataset. Experimental results show that the proposed method is efficient and robust, and can be used in many shape analysis works. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings of SPIE - The International Society for Optical Engineering
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, WA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-0772-9 |
| WOS记录号 | WOS:000391228600067 |
| 源URL | [http://ir.sia.cn/handle/173321/19169]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Cai HY,Zhu F,Hao YM,et al. Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features[C]. 见:International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control. Beijing. May 9-11, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。