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 |
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代理人 |
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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 |