Semiautomatic Simplification

Fuente: arXiv
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Autores principales: Li, Gong, Watson, Benjamin
Formato: Preprint
Publicado: 2025
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author Li, Gong
Watson, Benjamin
author_facet Li, Gong
Watson, Benjamin
contents We present semisimp, a tool for semiautomatic simplification of three dimensional polygonal models. Existing automatic simplification technology is quite mature, but is not sensitive to the heightened importance of distinct semantic model regions such as faces and limbs, nor to simplification constraints imposed by model usage such as animation. semisimp allows users to preserve such regions by intervening in the simplification process. Users can manipulate the order in which basic simplifications are applied to redistribute model detail, improve the simplified models themselves by repositioning vertices with propagation to neighboring levels of detail, and adjust the hierarchical partitioning of the model surface to segment simplification and improve control of reordering and position propagation.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01116
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Semiautomatic Simplification
Li, Gong
Watson, Benjamin
Graphics
We present semisimp, a tool for semiautomatic simplification of three dimensional polygonal models. Existing automatic simplification technology is quite mature, but is not sensitive to the heightened importance of distinct semantic model regions such as faces and limbs, nor to simplification constraints imposed by model usage such as animation. semisimp allows users to preserve such regions by intervening in the simplification process. Users can manipulate the order in which basic simplifications are applied to redistribute model detail, improve the simplified models themselves by repositioning vertices with propagation to neighboring levels of detail, and adjust the hierarchical partitioning of the model surface to segment simplification and improve control of reordering and position propagation.
title Semiautomatic Simplification
topic Graphics
url https://arxiv.org/abs/2507.01116