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Imaging all Visible Surfaces

Authors: Stuerzlinger, Wolfgang;

Imaging all Visible Surfaces

Abstract

Today many systems exist to generate geometric models of existing scenes and objects. However, very few systems store accurate data about surface appearance such as colors and textures. One way to capture surface texture data is to record a series of images that, collectively, captures all visible surfaces of the object. Finding good viewpoints for this task is not easy. This paper presents a new heuristic method to find a good set of viewpoints for a given geometric model. Taking images from the computed viewpoints will show every visible part of every surface at least once. The approach uses a hierarchical visibility algorithm to preprocess the scene. A good set of viewing regions is identified with simulated annealing and then good viewpoints are derived. Results and visualizations of the computed solutions are presented.

Proceedings of Graphics Interface 1999, Kingston, Ontario, Canada, 2 - 4 June 1999, 115-122

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000 computer science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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