Abstract

The goal of 3D surface simplification is to reduce the storage cost of 3D models. A 3D animation model typically consists of several 3D models. Therefore, to ensure that animation models are realistic, numerous triangles are often required. However, animation models that have a high storage cost have a substantial computational cost. Hence, surface simplification methods are adopted to reduce the number of triangles and computational cost of 3D models. Quadric error metrics (QEM) has recently been identified as one of the most effective methods for simplifying static models. To simplify animation models by using QEM, Mohr and Gleicher summed the QEM of all frames. However, homogeneous coordinate problems cannot be considered completely by using QEM. To resolve this problem, this paper proposes a robust homogeneous coordinate transformation that improves the animation simplification method proposed by Mohr and Gleicher. In this study, the root mean square errors of the proposed method were compared with those of the method proposed by Mohr and Gleicher, and the experimental results indicated that the proposed approach can preserve more contour features than Mohr’s method can at the same simplification ratio.

Highlights

  • The development of information technology has caused 3D techniques to be applied often in numerous aspects of digital life [1,2,3,4,5], especially computer graphics [6,7,8,9]

  • This paper proposes a robust homogeneous coordinate transformation that improves the animation simplification method proposed by Mohr and Gleicher

  • Experimental results indicated that when deformation sensitive decimation (DSD) is used to simplify the animation model in Figure 3(c), the simplification of the fifth frame example is superior to that generated using the quadric error metrics (QEM) of first frame example

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Summary

Introduction

The development of information technology has caused 3D techniques to be applied often in numerous aspects of digital life [1,2,3,4,5], especially computer graphics [6,7,8,9]. To reduce these errors, Mohr and Gleicher [22] proposed the deformation sensitive decimation (DSD) method. Mohr and Gleicher [22] proposed the deformation sensitive decimation (DSD) method This method is an extension of the QEM algorithm that involves constructing a metamesh after summing the quadric errors incurred by all frames. This paper proposes a robust homogeneous coordinate transformation (RHCT) that improves the DSD method

Related Works
Robust Homogeneous Coordinate Transformation
The Proposed Algorithm
Experimental Results
Conclusions
Full Text
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