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View and Path Planning for Scaling 3D Acquisition to Many Objects

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자료유형E-Book
개인저자Fan, Xinyi.
단체저자명Princeton University. Electrical Engineering.
서명/저자사항View and Path Planning for Scaling 3D Acquisition to Many Objects.
발행사항[S.l.] : Princeton University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항108 p.
소장본 주기School code: 0181.
ISBN9780438047976
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Szymon M. Rusinkiewicz.
요약Demand for high-volume 3D scanning of real objects is rapidly growing in a wide range of applications, including quality-control for manufacturing, online retailing, entertainment with virtual reality, as well as archaeological documentation and
요약This dissertation focuses on studying practical 3D acquisition for large numbers of objects. The problem is challenging because it is hard to automatically find a proper set of scanner views that cannot only completely cover the surface of multi
요약We propose a prototype system for multi-object 3D acquisition, which allows non- expert users to scan large numbers of physical objects within a reasonable amount of time, and with greater ease. Our system uses novel planning algorithms to contr
요약We propose an objective function for automated view and path planning, taking into account both accuracy and efficiency of the scanning system. We analyze different approaches to optimize for the objective and discuss their performance and pract
요약In addition, we address the problem of surface inaccessibility to further refine our multi-object 3D acquisition system. We explore solutions for improvement from both the hardware and software end.
일반주제명Computer science.
Computer engineering.
Robotics.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998203

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