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Data-driven Approaches for Personalized Head Reconstruction

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개인저자Liang, Shu.
단체저자명University of Washington. Computer Science and Engineering.
서명/저자사항Data-driven Approaches for Personalized Head Reconstruction.
발행사항[S.l.] : University of Washington., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항111 p.
소장본 주기School code: 0250.
ISBN9780438176843
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Linda G. Shapiro.
요약Personalized 3D face reconstruction has produced exciting results over the past few years. However, traditional methods usually require complicated setups or controlled environments to get the detailed shape of a person's face. Most methods focu
요약The first part of our work introduces an algorithm that takes a single frame of a person's face from a commercial depth camera Kinect and produces a high-resolution 3D mesh of the input leveraging a large research dataset of 3D face meshes. We d
요약In order to free people from the capturing session, the larger portion of this thesis focuses on reconstructing not only the face, but also the rest of the head using in-the-wild image collections and videos. We first introduce a boundary-value
요약Results on photos of celebrities downloaded from the Internet are given. However, in this algorithm, we have not reconstructed a complete head model and a specific model of the hair is lacked.
요약We further utilize a person's in-the-wild video to recover the full head model considering the multi-view information and hairstyle consistency across video frames. Given a video of a person's head, e.g., a TV interview, our method automatically
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999153

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