Signature of position angles histograms for 3D object recognition
文献类型：会议论文
| 作者 | Zhu F(朱枫) ; Lu RR(鲁荣荣); Zhao YS(赵银帅); Cai HY(蔡慧英); Hao YM(郝颖明)
|
| 出版日期 | 2017 |
| 会议名称 | 9th International Conference on Digital Image Processing, ICDIP 2017 |
| 会议日期 | May 19, 2017 - May 22, 2017 |
| 会议地点 | Hong Kong, China |
| 关键词 | Local surface feature Local reference frame 3D object recognition |
| 页码 | 1-7 |
| 通讯作者 | Lu RR(鲁荣荣) |
| 中文摘要 | This paper presents a robust and rotation invariant local surface descriptor by encoding the position angles of neighboring points with a stable and unique local reference frame (LRF) into a 1D histogram. The whole procedure includes two stages: the first stage is to construct a unique LRF by performing eigenvalue decomposition on the covariance matrix formed using all the neighboring points on the local surface. On the second stage, the sphere support field of a key point was divided along the radius into several sphere shells which is similar with the Signature of Histograms OrienTations (SHOT). In each sphere shell, we calculate the cosine of the angles between the neighboring points and the x-axis, z-axis respectively to form two 1D histograms. Finally, all the 1D histograms were stitched together followed by a normalization to generate the local surface descriptor. Experiment results show that our proposed local feature descriptor is robust to noise and varying mesh-resolutions. Moreover, our local feature descriptor based 3D object recognition algorithm achieved a high average recognition rate of 98.9% on the whole UWA dataset. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings of SPIE, Ninth International Conference on Digital Image Processing (ICDIP 2017)
 |
| 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 | 978-1-5106-1304-1 |
| WOS记录号 | WOS:000412113300147 |
| 源URL | [http://ir.sia.cn/handle/173321/21053]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, 100049, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, 114 Nanta Street, Shenyang, 110016, China 3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, 110016, China 4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China |
| 推荐引用方式 GB/T 7714 | Zhu F,Lu RR,Zhao YS,et al. Signature of position angles histograms for 3D object recognition[C]. 见:9th International Conference on Digital Image Processing, ICDIP 2017. Hong Kong, China. May 19, 2017 - May 22, 2017. |
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。