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Deep Facial Expression Modeling and 3D Motion Retargeting from 2D Images
Deep Facial Expression Modeling and 3D Motion Retargeting from 2D Images
Detailed Information
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534699883
- DDC
- 004
- 서명/저자
- Deep Facial Expression Modeling and 3D Motion Retargeting from 2D Images
- 발행사항
- [Sl] : University of Washington, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 107 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Shapiro, Linda.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer science
- 일반주제명
- Motion capture
- 일반주제명
- Cellular telephones
- 일반주제명
- Accuracy
- 일반주제명
- Deep learning
- 일반주제명
- Perceptions
- 일반주제명
- Optimization techniques
- 일반주제명
- Neural networks
- 일반주제명
- Maps
- 일반주제명
- Mapping
- 일반주제명
- Methods
- 일반주제명
- Decision trees
- 일반주제명
- Advisors
- 일반주제명
- Deformation
- 일반주제명
- Customization
- 일반주제명
- Animation
- 일반주제명
- Geometry
- 키워드
- 3D animation
- 키워드
- Deep learning
- 기타저자
- University of Washington Computer Science and Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798534699883
■035 ▼a(MiAaPQ)AAI28498237
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aChaudhuri, Bindita.
■24510▼aDeep Facial Expression Modeling and 3D Motion Retargeting from 2D Images
■260 ▼a[Sl]▼bUniversity of Washington▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a107 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Shapiro, Linda.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0250.
■650 4▼aComputer science
■650 4▼aMotion capture
■650 4▼aCellular telephones
■650 4▼aAccuracy
■650 4▼aDeep learning
■650 4▼aPerceptions
■650 4▼aOptimization techniques
■650 4▼aNeural networks
■650 4▼aMaps
■650 4▼aMapping
■650 4▼aMethods
■650 4▼aDecision trees
■650 4▼aAdvisors
■650 4▼aDeformation
■650 4▼aCustomization
■650 4▼aAnimation
■650 4▼aGeometry
■653 ▼a3D animation
■653 ▼aDeep learning
■653 ▼aFace reconstruction
■653 ▼aFacial motion retargeting
■690 ▼a0984
■71020▼aUniversity of Washington▼bComputer Science and Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052115▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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