A Multiscale Sub-Pixel Detector for Comers in Camera Calibration Targets
Hessian matrix is an important tool to analysis local characters of images, and detectors based on it are used widely in camera calibration.This paper derives a new representation of Hessian matrix by wavelet transform modulus and furtherer proposed a multiscale sub-pixel corner detector based on Hessian matrix and wavelet. It is expected to detect the corners at different scales and overcome the drawback of the singlescale detectors, which may usually either miss significant corners or detect false corners due to noise. For other kinds of corners besides X-corners mentioned in this paper, relative multiscale detectors based on Hessian matrix can be easily designed in the same way as this article. Computer simulation experiments show that at low noise level our algorithm is slightly more accurate than traditional single scale algorithm, and that at high noise level our algorithm is still robust enough to detect most corners when the traditional detector fails.
Corner Detector Multiscale Wavelet Sub-Pixel Camera Calibration
Junying Xia Jiu-long Xiong Xiaoquan Xu Haiyan Qin
Department of Instrument Science and Technology National University of Defence Technology Changsha, Guilin Air Force Academy Guilin, Guangxi Province, China
国际会议
长沙
英文
196-199
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）