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Synapse
January 1, 19973,421 citations

Surface simplification using quadric error metrics

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MGMichael GarlandPHPaul S. Heckbert

Key Points

  • This research aims to develop a surface simplification algorithm that produces high-quality approximations for complex polygonal models using quadric error metrics.
  • Developed a surface simplification algorithm utilizing iterative contractions of vertex pairs.
  • Maintained surface error approximations via quadric matrices.
  • Supported non-manifold surface models to enable topological joining.
  • Achieved high-quality visual approximations of models by contracting arbitrary vertex pairs.
  • Improved geometric error measurements compared to traditional methods.
  • Facilitated better visual representations of models with unconnected regions.

Abstract

Many applications in computer graphics require complex, highly detailed models. However, the level of detail actually necessary may vary considerably. To control processing time, it is often desirable to use approximations in place of excessively detailed models. We have developed a surface simplification algorithm which can rapidly produce high quality approximations of polygonal models. The algorithm uses iterative contractions of vertex pairs to simplify models and maintains surface error approximations using quadric matrices. By contracting arbitrary vertex pairs (not just edges), our algorithm is able to join unconnected regions of models. This can facilitate much better approximations, both visually and with re-spect to geometric error. In order to allow topological joining, our system also supports non-manifold surface models.

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Cite This Study

Garland et al. (1997) studied this question.

synapsesocial.com/papers/69d909f75e21d3d3009f5612https://doi.org/10.1145/258734.258849
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  5. 5Full‐range approximation of triangulated polyhedra.1996 · 300 citations