摘要
We propose a contour based feature descriptor for object classification. This method uses polygonal approximation algorithm to simplify contours and use adjacent lines to encode object contours. We demonstrate the high performance of the local contour descriptor within a powerful bag of fteatures classification scheme. Through extensive evaluation on PASCAL 2007 Visual Recognition Challenge dataset set, the test results show that this local contour descriptor has many advantages. It is simple and computation efficient. And it is easy to reuse in other frameworks.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings |
| 出版商 | Springer Verlag |
| 页 | 795-803 |
| 页数 | 9 |
| 版本 | PART 1 |
| ISBN（印刷版） | 3540885129, 9783540885122 |
| DOI | |
| 出版状态 | 已出版 - 2008 |
| 活动 | 1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 - Wuhan, 中国 期限: 15 10月 2008 → 17 10月 2008 |
出版系列
| 姓名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| 编号 | PART 1 |
| 卷 | 5314 LNAI |
| ISSN（印刷版） | 0302-9743 |
| ISSN（电子版） | 1611-3349 |
会议
| 会议 | 1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Wuhan |
| 时期 | 15/10/08 → 17/10/08 |
指纹
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Nie, Q., & Zhan, S. Y. (2008). Contour based multi-object classification technology. 在 Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings (PART 1 编辑, 页码 795-803). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5314 LNAI, 号码 PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-88513-9_86