Three-dimensional model simplification method based on appearance retention

A 3D model and appearance technology, applied in the field of computer graphics and image processing, can solve problems such as difficult to meet real-time rendering, and achieve the effect of less steps, high efficiency and good robustness
CN102306394AInactive Publication Date: 2012-01-04BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2012-01-04
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention relates to a three-dimensional model simplification method based on appearance retention. The method comprises the following steps of: 1, reading model data; 2, dividing model top points into boundary points and non boundary points; 3, calculating a second order error metric matrix Q and other parameters of each top point; 4, calculating a folding value of each edge (vi, vj), and adjusting the folding value during calculation of the folding value according to boundary points, concave and convex changes and a detail image; 5, taking an edge with minimum folding value from a priority queue for simplification; and 6, judging whether a simplification requirement is met, if so, outputting a simplified model, otherwise, repeatedly executing a model simplification process from the step 2. The method retains high efficiency of second order error metric and model appearance consistency to the greatest extent, and is simple, practical, high in simplification speed and good in robustness.
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Description

technical field

[0001] The invention relates to a three-dimensional model simplification method, which belongs to the technical field of computer graphics and image processing. Background technique

[0002] As the basic component of 3D simulation applications, 3D models become more and more refined in order to pursue a higher sense of reality as the simulation system becomes more and more complex, resulting in larger models. However, the high-resolution model poses great challenges to the storage capacity, processing power, rendering speed, and transmission speed of the computer system, and it is difficult to meet the requirements of real-time rendering. In practical applications, considering the balance of factors such as the processing power of the computer and the realism of the scene for different applications, a suitable low-resolution model is generally selected to replace the original high-resolution model to reduce system overhead, that is, model simplification . ...

Claims

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