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Date: Thu, 07 Nov 1996 19:23:01 GMTServer: NCSA/1.5Content-type: text/htmlLast-modified: Fri, 03 Jun 1994 18:51:03 GMTContent-length: 1129<HTML><HEAD><TITLE>Steve Seitz's Animation Writeup</TITLE></HEAD><BODY><H1> <!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><A HREF="http://www.cs.wisc.edu/~seitz/animation.gif"> <!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><IMG ALIGN=BOTTOM SRC="http://www.cs.wisc.edu/~seitz/animation.icon.gif"></A>Image Motion Analysis for Character Animation Control</H1><H2> <!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><A HREF="http://www.cs.wisc.edu/~seitz/seitz.html">Steve Seitz</A>,<!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><A HREF="http://www.cs.wisc.edu/~dyer/dyer.html"> Chuck Dyer</A></H2><P>Our research is motivated by the problem of teachinga graphical model to perform a realistic motion. This problem hasits roots in the art of cartoon animation and has modern applications tocomputer animation, virtual reality, teleconferencing, and robotics.The task is to endow a graphical model with the knowledge of how to performa repertoire of interesting motions. Once learned, these motions can beinvoked directly via high-level cues (e.g. "smile", "walk"), inferred via anabstract goal (e.g. "go to the store"), or cued off of low-levelevents from a virtual input device or an image sequence. <P>Other projects include the analysis of <!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><A HREF="http://www.cs.wisc.edu/~seitz/pmotion.html"> periodic motion </A>and tracking of rigid and nonrigid objects.</BODY></HTML>⌨️ 快捷键说明
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