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CSE 590ss: Vision for Graphics |
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Description: Realistic image synthesis is a central goal of computer graphics.
Movies like Jurassic Park or Star Wars demonstrate thrilling
possibilities - graphical models that look and move so realistically
that they integrate seamlessly with live action footage. Yet,
creating such effects currently requires great artistry and
painstaking manual labor. Motivated by these difficulties, many in
the computer graphics community are turning to the field of computer
vision as a means for capturing the real world directly from
photographs and video. Beyond providing a rich source of input for
computer graphics, computer vision has the potential to impact
computer graphics at a variety of levels. For example, a
camera-equipped PC could interpret your gestures and motions directly,
without the need for a mouse or 3D-input device. Artists and media
producers could benefit from vision-assisted tools that simplify
editing images and video. Rendering architectures could take advantage
of image-based representations to render complex scenes more
efficiently.
In this course we will survey many of the computer vision techniques
that have applications to the field of computer graphics research and
production. The topics covered include image warping, matte
extraction, motion estimation, mosaics, camera calibration, match
move, shape recovery, texture analysis, and reflectance modeling. No
prior background in computer vision is assumed. The fundamental
concepts and mathematics that underlie these approaches will be
covered in addition to the algorithms themselves.
Portions of the CSE 590ss Web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE 590ss Web: © 1993-2001, Department of Computer Science and Engineering, University of Washington. |
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Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to webmaster] |
