3D vision measurement method and realization technique based on radical basis function
文献类型：会议论文
| 作者 | Peng, WD; Dong ZL(董再励) ; Sun MX(孙茂相); Liu H(刘惠)
|
| 出版日期 | 2003 |
| 会议名称 | 3rd International Symposium on Multispectral Image Processing and Pattern Recognition |
| 会议日期 | October 20-22, 2003 |
| 会议地点 | BEIJING, China |
| 关键词 | locating technique position measurement position sensitive detector (PSD) radical basis function networks (RBFN) k-means least squares (LS) |
| 页码 | 220-223 |
| 中文摘要 | A new vision location method based on radical basis function networks (RBFN) is presented in this paper. It fully utilizes the excellent ability of RBFN to approach the nonlinear mapping and have a good performance of high learning rate and adapting the different environment generalization. It sets tip a non-linear relationship between the space sample points and the corresponding image information by learning, instead of traditional calibration method, and can be used for 3D measurement. In our lab. it was applied to 3D vision location system based on a multi-linear photoelectrical sensor system. The experiment proves that it can quickly realize high-accuracy space location. This method could be supplied as a new one to solve the 3D space location problem. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Huazhong Univ Sci & Technol, SPIE |
| 会议录 | THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2
 |
| 会议录出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
| 会议录出版地 | BELLINGHAM |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 0-8194-5181-9 |
| WOS记录号 | WOS:000187118700044 |
| 源URL | [http://ir.sia.cn/handle/173321/8460]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Peng, WD,Dong ZL,Sun MX,et al. 3D vision measurement method and realization technique based on radical basis function[C]. 见:3rd International Symposium on Multispectral Image Processing and Pattern Recognition. BEIJING, China. October 20-22, 2003. |
入库方式： OAI收割
来源：沈阳自动化研究所
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