|
|||||
|
|
| 多尺度特征提取的双目视觉匹配 | |
| 引用本文： | 孔军,汤心溢,蒋敏.多尺度特征提取的双目视觉匹配[J].计算机工程与应用,2010,46(33):1-5. |
| 作者姓名： | 孔军 汤心溢 蒋敏 |
| 作者单位： | 1. 中国科学院,上海技术物理研究所,上海,200083;江南大学,物联网工程学院,江苏,无锡,214122;中国科学院,研究生院,北京,100039 2. 中国科学院,上海技术物理研究所,上海,200083 3. 江南大学,物联网工程学院,江苏,无锡,214122 |
| 摘 要： | 提出一种基于多尺度特征提取的双目视觉匹配算法，旨在提高传统算法的实时性和鲁棒性。该算法通过设计出一种基于尺度因子变化的高斯核模板尺寸自适应调整以及双目视图的双向配准的办法，以改善特征点匹配效率和精度。实验证明，多尺度特征提取算法能够有效而快速地完成双目视图的特征点匹配。 |
| 关 键 词： | 双目视觉 尺度不变特征转换（SIFT） 多尺度 尺度因子 特征描述子 |
| 收稿时间： | 2010-7-21 |
| 修稿时间： | 2010-10-20 |
Matching algorithm of binocular vision based on multi-scale feature extraction |
|
| KONG Jun,TANG Xin-yi,JIANG Min.Matching algorithm of binocular vision based on multi-scale feature extraction[J].Computer Engineering and Applications,2010,46(33):1-5. | |
| Authors: | KONG Jun TANG Xin-yi JIANG Min |
| Affiliation: | KONG Jun1,2,3,TANG Xin-yi1,JIANG Min21.Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China 2.School of Internet of Things and Sensor Network Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China 3.Graduate School of Chinese Academy of Sciences,Beijing 100039,China |
| Abstract: | In order to improve the real-time performance and robustness of SIFT,this paper proposes a matching algorithm of binocular vision based on multi-scale feature extraction.This algorithm devises two improved ways.One way is presented that the size of template can automatically adjust along with the scale factor changing.The other is that a bidirectional feature points matching algorithm is proposed.By it,the traditional algorithm is optimized from feature point extracting time and matching accuracy.Finally,ex... |
| Keywords: | |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 | |
| 点击此处可从《计算机工程与应用》下载全文 | |