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Extraction of full body size parameters for personalized recommendation module

개인 맞춤형 추천모듈을 위한 전신 신체사이즈 추출

  • Park, Yong-Hee (Division of Multimedia Engineering, Sungkyul University) ;
  • Chin, Seong-Ah (Division of Multimedia Engineering, Sungkyul University)
  • 박용희 (성결대학교 멀티미디어공학부) ;
  • 진성아 (성결대학교 멀티미디어공학부)
  • Received : 2010.09.13
  • Accepted : 2010.12.17
  • Published : 2010.12.31

Abstract

Anthropometry has been broadly explored in various fields including automobile industry, home electronic appliances, medical appliances and sports goods with aiming at reaching satisfaction to consumer's need and efficiency. However, current technologies to measure a human body still have barriers in which the methods mostly seem to be contingent on expensive devices such as scanner and digital measuring instruments and to be directly touchable to the body when obtaining body size.. Therefore, in this paper, we present a general method to automatically extract size of body from a real body image acquired from a camera and to utilize it into recommend systems including clothing and bicycle fitting. At first, Haar-like features and AdaBoost algorithm are employed to detect body position. Then features of body can be recognized using AAM. Finally clothing and bicycle recommending modules have been implemented and experimented to validate the proposed method.

Keywords

Body Size;Fitting System;AAM;Anthropometry;Body Feature

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