发明名称 OBJECT SHAPE ALIGNING APPARATUS, OBJECT PROCESSING APPARATUS AND METHODS THEREOF
摘要 An apparatus includes a unit configured to acquire an object shape regression model, which comprises an average object shape, a plurality of regression functions and a plurality of feature selection maps; a unit configured to set an initial object shape for the object image based on the average object shape; a unit configured to calculate at least one feature vector with respect to a plurality of feature points; a unit configured, for each coordinate of the plurality of feature points, to select feature fragments from the calculated feature vector based on a corresponding one of the plurality of feature selection maps and assemble the feature fragments into a sub feature vector; and a unit configured, for at least one coordinate of at least one feature point, to predict a coordinate increment based on the corresponding sub feature vector and a corresponding one of the plurality of regression functions.
申请公布号 US2016086053(A1) 申请公布日期 2016.03.24
申请号 US201514857669 申请日期 2015.09.17
申请人 CANON KABUSHIKI KAISHA 发明人 Zhu Fuguo;Jiang Yong;Li Xian;Xu Lifeng;Wen Dongchao
分类号 G06K9/52;G06T7/00;G06K9/00;G06T7/60;G06K9/62 主分类号 G06K9/52
代理机构 代理人
主权项 1. An apparatus comprising: a unit configured to acquire an object shape regression model having an average object shape, a plurality of regression functions and a plurality of feature selection maps, from a plurality of training samples; a unit configured to set an initial object shape for an object image based on the average object shape; a unit configured to calculate at least one feature vector with respect to a plurality of feature points of the initial object shape; a unit configured, for each coordinate of the plurality of feature points, to select feature fragments from the calculated feature vector based on a corresponding one of the plurality of feature selection maps and assemble the feature fragments into a sub feature vector; and a unit configured, for at least one coordinate of at least one feature point, to predict a coordinate increment based on the corresponding sub feature vector and a corresponding one of the plurality of regression functions.
地址 Tokyo JP