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A visualization method for multi-layer shape feature fusion on GPU

A shape feature, polygon technology, applied in the field of computer graphics and visualization, can solve problems such as artificial traces

Active Publication Date: 2016-04-27
北京微视威信息科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the image space-based method is not conducive to stylized drawing of feature lines according to the geometric space properties of the model because it is calculated at the pixel level, and is prone to pixel-level artifacts (pixel-level artifacts)

Method used

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  • A visualization method for multi-layer shape feature fusion on GPU
  • A visualization method for multi-layer shape feature fusion on GPU
  • A visualization method for multi-layer shape feature fusion on GPU

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Embodiment Construction

[0057] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the described embodiments are only some of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0058] Such as figure 1 Shown is a schematic diagram of the real-time online rendering process of the model visualization system and the generated GPU intermediate result data. The following method is used to visualize the fusion of multi-layer shape features:

[0059] The first step: Use the improved k-buffer algorithm based on the multi-level depth test strategy to sort and collect GPU multi-pieces, and at the same time calculat...

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Abstract

The invention provides a visualization method for multilayer shape feature fusion on a GPU (Graphics Processing Unit). According to the method, the sequencing and collecting of multiple fragments can be conducted by adopting a multilevel depth test strategy-based improved k-buffer algorithm, the multi-fragment stylized rendering technology can be formed by performing geometrical feature extraction on the multilayer fragments and combining a non-photorealistic rendering method, so that the shape features of multilayer geometrical surfaces in the front and the back and the middle of a single model or multiple models in a large-scale scene can be shown. Through the shape feature on the multilayer surfaces of the model, not only can the stylized rendering effect of various transparent and semi-transparent objects be shown, but also a user can conveniently observe the surface structure feature of the model. A good stylized feature visualization effect can be realized only by geometrically drawing a model scene in the GPU twice, and the real-time rate can be achieved.

Description

technical field [0001] The invention relates to a model visualization method on a GPU, in particular to a visualization method for extracting multi-layer surface shape features on a GPU and performing stylized fusion drawing on multi-layer features in a translucent / transparent mode, belonging to computer graphics with the visualization field. Background technique [0002] Non-photorealistic or stylized rendering (Non-photorealisticorStylizedRendering) is an important research field in computer graphics and visualization. Unlike photorealistic rendering, which strives to simulate the most realistic scene effects, non-photorealistic rendering is often used to simulate some artistic effects. Or have application-specific effects, such as cartoons, pencil drawings, watercolors, technical illustrations, etc. The common method is to visually abstract the scene information, discard unnecessary details, and concentrate on extracting and depicting the main shape features of the 3D mo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/80G06T15/02
Inventor 李胜王菁汪国平
Owner 北京微视威信息科技有限公司
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