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Data-driven Approaches for Personalized Head Reconstruction
Data-driven Approaches for Personalized Head Reconstruction
- 자료유형
- 학위논문
- Control Number
- 0014999153
- International Standard Book Number
- 9780438176843
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Liang, Shu.
- Publication, Distribution, etc. (Imprint
- [Sl] : University of Washington, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 111 p
- General Note
- Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
- General Note
- Adviser: Linda G. Shapiro.
- Dissertation Note
- Thesis (Ph.D.)--University of Washington, 2018.
- Summary, Etc.
- 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
- Summary, Etc.
- 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
- Summary, Etc.
- 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
- Summary, Etc.
- 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.
- Summary, Etc.
- 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
- Subject Added Entry-Topical Term
- Computer science
- Added Entry-Corporate Name
- University of Washington Computer Science and Engineering
- Host Item Entry
- Dissertation Abstracts International. 79-12B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
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- Control Number
- joongbu:557331