Mesh simplification with average planes for 3-D image

Document Type

Conference Proceeding

Publication Date

12-1-2000

Abstract

Mesh simplification is a very important stage in three dimensional image construction. In most cases, a model consists of many triangles. It is difficult to render, transmit and store the model data. This paper proposes a mesh simplification method based on computing the average planes combined by adjacent vertices of every edge and two edge vertices. We compute RMS (root mean square) distance error of all these vertices of the edge to the average plane. Two RMS error values, the edge length and one penalty item are combined to produce the final error metric. According to this value, the curvature of the facet can be decided. The edge with least error metric is selected to collapse. One model without boundary and two models with boundary are used to test the efficiency of the proposed method.

Identifier

0034500651 (Scopus)

Publication Title

Proceedings of the IEEE International Conference on Systems Man and Cybernetics

ISSN

08843627

First Page

1412

Last Page

1417

Volume

2

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