The convergence of graphics and vision

Computer graphics and computer vision are inverse problems. Traditional computer graphics starts with input geometric models and produces image sequences. Traditional computer vision starts with input image sequences and produces geometric models. Lately, there has been a meeting in the middle, and...

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 31; no. 7; pp. 46 - 53
Main Author Lengyel, J.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.1998
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer graphics
Computer programming
Computer vision
Convergence
Geometry
Image sequences
Inverse problems
Layout
Solid modeling
Vision systems
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Summary:Computer graphics and computer vision are inverse problems. Traditional computer graphics starts with input geometric models and produces image sequences. Traditional computer vision starts with input image sequences and produces geometric models. Lately, there has been a meeting in the middle, and the center, the prize, is to create stunning images in real time. Vision researchers now work from images backward, just as far backward as necessary to create models that capture a scene without going to full geometric models. Graphics researchers now work with hybrid geometry and image models. Approaching similar problems from opposite directions, graphics and vision researchers are reaching a fertile middle ground. The goal is to find the best possible tools for the imagination. This overview describes cutting edge work, some of which will debut at Siggraph 98.
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ISSN:0018-9162
1558-0814
DOI:10.1109/2.689676