A novel X-corner detector based on video

Authors:
Qing He;Chao Hu;Lei Cui;Wei Liu;Max Q.-H. Meng
Affiliations:
CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Informatics & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Informatics & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Informatics & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology;CAS, CUHK, Shenzhen Institute of Advanced Integration, Key Lab for Biomedical Informatics & Health Eng., Shenzhen Key Lab for Low-Cost Health, Shenzhen Institute of Advanced Technology;Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T. Hong Kong
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

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Abstract

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.