A Multi-scale Visual Salient Feature Points Extraction Method Based on Gabor Wavelets

摘要：

Keypoints are important features in the perceptual system of humans. They provide important information for focus-of-attention (FoA) and object categorization/recognition. Different types of keypoints have been used in computer vision applications. In this paper, we propose a method which extracts “salient points in the meaning of biological vision by utilizing the multi-scale Gabor energy operator. The resulting operator responds strongly to corners, isolated lines, edges, and contours. And with the increase of scale, the extracted keypoints tend to illustrate important structures of the image. We show that the Gabor energy map provides very useful information of a saliency map for FoA and object recognition.

作者: Wanying Xu Xinsheng Huang Xinsheng Huang

作者单位: College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsh College of Computer,National University of Defense Technology,Changsha,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: 1205-1208

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）