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020 ▼a 9781085622875
035 ▼a (MiAaPQ)AAI13877903
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 741
1001 ▼a Willett, Nora Schertz.
24510 ▼a Tools for Live 2D Animation.
260 ▼a [S.l.]: ▼b Princeton University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 175 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
500 ▼a Advisor: Finkelstein, Adam.
5021 ▼a Thesis (Ph.D.)--Princeton University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a Live animation of 2D characters is an emerging form of storytelling that has begun to appear on streaming platforms and broadcast TV. Unlike traditional animation, human performers control characters in real time so that they can respond and improvise to live events. Current live animation systems provide a range of animation controls, such as camera input to drive head movements, audio for lip sync, and keyboard shortcuts to trigger discrete pose changes via artwork swaps. However, managing all of these controls during a live performance is challenging. This dissertation presents four tools to assist performers in creating compelling live 2D animation. To create more compelling characters, we propose three tools to control artwork layers' swaps and deformations. First, we introduce an interactive system that addresses the problem of triggering artwork swaps in live settings. Next, another system transfers poses from an input video to a character, automatically driving new animation through pose data. We also describe a framework that augments the primary motion of a character by adding secondary motion - subtle movement of parts like hair, foliage or cloth that complements and emphasizes the primary motion. To add more details to scene backgrounds, we show a mixed initiative interface which, from a few user-drawn scribbles, extracts repetitive texture elements in an image, and supports animating them.
590 ▼a School code: 0181.
650 4 ▼a Computer science.
650 4 ▼a Design.
690 ▼a 0984
690 ▼a 0389
71020 ▼a Princeton University. ▼b Computer Science.
7730 ▼t Dissertations Abstracts International ▼g 81-02A.
773 ▼t Dissertation Abstract International
790 ▼a 0181
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491081 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK