A Novel X-corner Detector Based On Video

摘要：

The accuracy of corner detection is critical for many machine vision applications. A novel corner detector based on video is proposed in this paper. The corner detector can effectively constrain camera noise by using multiple frames from video. The kernel of this method is the similarity algorithm which including a special representation of binary image, a robust template, a simple similarity function and a trick for similarity function threshold. On this basis, two X-corner detectors based on video are studied in this paper. One is a sub-pixel X-corner detector using average of anchor points, and the other is pixel X-corner detector using the average of frames.

作者: Qing He Chao Hu Lei Cui Wei Liu Max Q.-H. Meng

作者单位: CAS/CUHK Shenzhen Institute of Advanced Integration,Key Lab for Biomedical Informatics & Health Eng. Department of Electronic Engineering,The Chinese University of Hong Kong.Shatin,N.T.HongKong

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: 1832-1837

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）