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    Digital Photogrammetry for Facial Recognition

    Source: Journal of Computing and Information Science in Engineering:;2006:;volume( 006 ):;issue: 004::page 390
    Author:
    L. M. Galantucci
    ,
    R. Ferrandes
    ,
    G. Percoco
    DOI: 10.1115/1.2356499
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, the authors present a biometric low-cost 3D acquisition system, based on a digital photogrammetry technique. The aim of the work is to analyze the suitability of this system for facial recognition purposes. The facial data of a set of 20 people were acquired with the photogrammetric system developed by the authors, and different CAD 3D models were reconstructed for each person. The results are quantified by aligning the models and calculating mean distances and standard deviations between them using two different methods. The former considers the entire face; the latter is based on a few fiducial points of the face.
    keyword(s): Photogrammetry , Errors , Facial recognition , Biometry AND Three-dimensional models ,
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      Digital Photogrammetry for Facial Recognition

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    https://yetl.yabesh.ir/yetl1/handle/yetl/133310
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    • Journal of Computing and Information Science in Engineering

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    contributor authorL. M. Galantucci
    contributor authorR. Ferrandes
    contributor authorG. Percoco
    date accessioned2017-05-09T00:19:11Z
    date available2017-05-09T00:19:11Z
    date copyrightDecember, 2006
    date issued2006
    identifier issn1530-9827
    identifier otherJCISB6-25970#390_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/133310
    description abstractIn this paper, the authors present a biometric low-cost 3D acquisition system, based on a digital photogrammetry technique. The aim of the work is to analyze the suitability of this system for facial recognition purposes. The facial data of a set of 20 people were acquired with the photogrammetric system developed by the authors, and different CAD 3D models were reconstructed for each person. The results are quantified by aligning the models and calculating mean distances and standard deviations between them using two different methods. The former considers the entire face; the latter is based on a few fiducial points of the face.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDigital Photogrammetry for Facial Recognition
    typeJournal Paper
    journal volume6
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.2356499
    journal fristpage390
    journal lastpage396
    identifier eissn1530-9827
    keywordsPhotogrammetry
    keywordsErrors
    keywordsFacial recognition
    keywordsBiometry AND Three-dimensional models
    treeJournal of Computing and Information Science in Engineering:;2006:;volume( 006 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian