Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01cf95jf33x
Title: Tools for Live 2D Animation
Authors: Willett, Nora
Advisors: Finkelstein, Adam
Contributors: Computer Science Department
Keywords: Animation
Computer Graphics
HCI
Subjects: Computer science
Issue Date: 2019
Publisher: Princeton, NJ : Princeton University
Abstract: 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.
URI: http://arks.princeton.edu/ark:/88435/dsp01cf95jf33x
Alternate format: The Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the library's main catalog: catalog.princeton.edu
Type of Material: Academic dissertations (Ph.D.)
Language: en
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
Willett_princeton_0181D_12935.pdf3.34 MBAdobe PDFView/Download


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.