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Multiple Human Face Detection Based on Local Genetic Algorithm Clustering Using Mobile iPhone Platform

Sulistijono, Indra Adji (2010) Multiple Human Face Detection Based on Local Genetic Algorithm Clustering Using Mobile iPhone Platform. Industrial Electronic Seminar.

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    Abstract

    This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search. First of all, we discuss the analogies between the evolutionary search and human visual search. Next, we propose the concept of evolutionary robot vision, and multiple human face detection method based on local genetic algorithm clustering. Finally, we show experimental results of the multiple human face detection using mobile platform iPhone platform to discuss the effectiveness of our proposed method.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Diptia dipu Zandra
    Date Deposited: 14 Mar 2011 20:51
    Last Modified: 15 Apr 2011 15:15
    URI: http://repo.pens.ac.id/id/eprint/70

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