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Title:
確率的固有空間解析を用いた複雑な対象物の検出、認識、及び符号化方法及び装置
Document Type and Number:
Japanese Patent JP3986583
Kind Code:
B2
Abstract:
Methods and apparatus for detecting instances of a selected object or object feature in a digitally represented scene utilize analysis of probability densities to determine whether an input image (or portion thereof) represents such an instance. The invention filters images of objects that, although in some ways similar to the object under study, fail to qualify as typical instances of that object. The invention is useful in the detection and recognition of virtually any multifeatured entity such as human faces, features thereof (e.g., eyes), as well as non-rigid and articulated objects such as human hands.

Inventors:
Babak Moghadam
Alex Pentland
Application Number:
JP10002396A
Publication Date:
October 03, 2007
Filing Date:
April 22, 1996
Export Citation:
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Assignee:
Massachusetts Institute of Technology
International Classes:
G06T7/00; G06T9/00; G06K9/00; G06K9/62
Domestic Patent References:
JP5225344A
JP5061977A
JP2165283A
JP6089344A
Other References:
岡崎透 外1名,直交顔基底を用いた顔画像符号化,電子情報通信学会技術研究報告,社団法人電子情報通信学会,1992年 3月10日,第91巻 第508号,47~54頁
Attorney, Agent or Firm:
Satoshi Furuya
Takahiko Mizobe
Kiyoharu Nishiyama



 
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