Title:
構成要素に基づいて構成された物体を識別するシステムを訓練するシステム、方法及びプログラム
Document Type and Number:
Japanese Patent JP4575917
Kind Code:
B2
Abstract:
A face recognition system includes a component learning/extraction module, component classifier training module, knowledge base for component classification (KBCC), component extraction module (CEM), object identification training module (OITM), knowledge base for face identification (KBFI), and object identification module (OIM). The CEM receives image data of faces at various viewpoints and extracts outputs of classification of the component data, using the results of classifier training of the component data, stored in the KBCC. The OITM receives the outputs of classification of the component data and determines indicator component for each person by Bayesian estimation so that posterior probability of a predetermined attention class is maximized under the outputs of classification of the component data at various viewpoints. The KBFI stores indicator components for the individuals. The OIM receives the outputs of classification of the component data and identifies faces using the indicator components stored in the KBFI.
Inventors:
Burned hazel
Application Number:
JP2006517819A
Publication Date:
November 04, 2010
Filing Date:
June 30, 2004
Export Citation:
Assignee:
Honda motor industry stock company
International Classes:
G06T7/00; G06T1/00; G06V10/772
Domestic Patent References:
| JP4264985A | ||||
| JP4175964A | ||||
| JP10232938A | ||||
| JP3226874A | ||||
| JP2001118068A |
Foreign References:
| US6324532 |
Other References:
Heisele Bernd,外3名,Component-based Face Detection,Computer Vision and Pattern Recognition,2001.CVPR2001.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2001,米国,IEEE Comuputer Society,2001年,Vol.1,p.657~662
Attorney, Agent or Firm:
Isono Dozo