A Novel Local Descriptor Based on Image Patch Gray-value Coding

摘要：

Local descriptors computed for key-points or interest regions are successfully applied in computer vision area. Among various descriptors, the SIFT based descriptors have been demonstrated to perform best. However, their computational cost is very expensive. In the paper, we propose a fast local descriptor, which is composed of the coding computed from the image patch centered at each key-point. The new descriptor is easily constructed and has fewer dimensions, which extremely speeds up the representing process and also benefits the later matching process. The experimental results show that the representation of our descriptor is about eighteen times faster and the matching is about 1.5 times faster than the standard SIFT descriptor, while the performance decreases only slightly.

作者: ZHENG Yongbin HUANG Xinsheng XU Wanying WANG Yiping

作者单位: College of Mechatronics and Automation,National University of Defense Technology,Changsha,Hunan,CO 410073 China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1276-1280

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）