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http://hdl.handle.net/1903/2845
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| Title: | PERCEPTUAL GRAPHICS FOR EFFECTIVE VISUALIZATION |
| Authors: | Lee, Chang Ha |
| Advisors: | Varshney, Amitabh |
| Department/Program: | Computer Science |
| Type: | Dissertation |
| Sponsors: | Digital Repository at the University of Maryland
University of Maryland (College Park, Md.) |
| Keywords: | Computer Science (0984)
Computer Graphics;Saliency;Lighting Design;Perception;Mesh Simplification;Viewpoint Selection |
| Issue Date: | 31-Aug-2005 |
| Abstract: | Current trends in 3D graphics point to a near future when our
ability to generate 3D content will far surpass our ability to
analyze it meaningfully. These trends have inspired us to improve
the comprehensibility of 3D graphics rendering using insights from
human perception of geometry and illumination. In this
dissertation, we develop algorithms and systems to seamlessly
integrate the low-level human visual system cues with object
modeling and lighting for 3D graphics.
Artists and illustrators have enhanced the perception of shape
with discrepant lighting for centuries. Traditional graphics
however assumes a model of consistent lighting. We have developed
a lighting design system, that by relaxing the constraint of
consistent lighting is able to convey a better depiction of shape.
Our system for automatic lighting design, Light Collages, segments
the objects into local surface patches and uses careful placement
of highlights, shadows, and silhouettes on them to enhance shape
percepti... |
| URI: | http://hdl.handle.net/1903/2845 |
| Appears in Collections: | Computer Science Theses and Dissertations
UM Theses and Dissertations
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Files in This Item:
| File |
Description |
Size | Format | No. of Downloads |
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| umi-umd-2843.pdf | | 6362Kb | Adobe PDF | 1749 | View/Open |
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