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The Empirical Moment Matrix and Its Application in Computer Vision

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자료유형E-Book
개인저자Gou, Mengran.
단체저자명Northeastern University. Electrical and Computer Engineering.
서명/저자사항The Empirical Moment Matrix and Its Application in Computer Vision.
발행사항[S.l.] : Northeastern University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항84 p.
소장본 주기School code: 0160.
ISBN9780438237469
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Octavia I. Camps.
요약Embedding local properties of an image, for instance its color intensities or the magnitude and orientation of its gradients, to create a representative feature is a critical component in many computer vision tasks, such as detection, classifica
요약Person re-ID is the problem of matching images of a pedestrian across cameras with no overlapping fields of view. It is one of the key tasks in surveillance video processing. Yet, due to the extremely large inter-class variances across different
요약Different from general objection recognition tasks, fine-grained classification usually tries to distinguish objects at the sub-category level, such as different makes of cars or different species of a bird. The main challenge of this task is th
일반주제명Computer science.
Electrical engineering.
Computer engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997848

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