DocumentCode :
1576782
Title :
A novel X-corner detector based on video
Author :
He, Qing ; Hu, Chao ; Cui, Lei ; Liu, Wei ; Meng, Max Q H
Author_Institution :
Key Lab. for Biomed. Inf. & Health Eng, CAS, Shenzhen, China
fYear :
2009
Firstpage :
1832
Lastpage :
1837
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.
Keywords :
computer vision; edge detection; image representation; video signal processing; binary image representation; constrain camera noise; machine vision; similarity function threshold; subpixel X-corner detector; video detection; Biomedical informatics; Biomedical measurements; Cameras; Chaos; Content addressable storage; Detectors; Helium; Machine vision; Robot vision systems; Robotic assembly;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420443
Filename :
5420443
Link To Document :
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