Objects Detection Method by Learning Lifted Wavelet Filters
A fast objects detection method is proposed,which is based on the variance-maximization learning of lifting dyadic wavelet filters.First,we derive a difference equation from two kinds of lifting high-pass components of a target image.The difference equation is an approximation of an inverse problem of an elliptic equation,which includes free parameters of the lifting filter.Since this discrete inverse problem is ill-conditioned,the free parameters are learned by using the least square method and a regularization method.Objects detection is done by applying the learned lifting filter to a query image.
Lifting wavelet filter Difference equation Inverse problem Regularization Learning Objects detection
Aireti Abulikemu Aliya Yushan Turghunjan Abdukirim Turki Abdurusul Osman
School of Mathematical Sciences,Xinjiang Normal University,Urumqi,China
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
411-417
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）