Global Illumination Real-time Rendering Method Based on Radial Basis Function Neural Network Fitting

A neural network and global illumination technology, applied in image data processing, 3D image processing, instruments, etc., can solve the problems of long time consumption, achieve the effect of ensuring rendering accuracy, avoiding ray intersection calculation, and improving speed

Inactive Publication Date: 2017-11-14
HOHAI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, in the implementation process of these algorithms, they all encountered the situation that the light and the scene need to be intersected multiple times, which took a long time

Method used

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  • Global Illumination Real-time Rendering Method Based on Radial Basis Function Neural Network Fitting
  • Global Illumination Real-time Rendering Method Based on Radial Basis Function Neural Network Fitting
  • Global Illumination Real-time Rendering Method Based on Radial Basis Function Neural Network Fitting

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0033] Such as figure 1 To draw a real-time flowchart for global illumination based on radial basis function neural network fitting, the processing steps are as follows:

[0034] 1) Offline rendering step: Render the scene through a physically-based ray tracing rendering method to obtain high-quality pictures. The high-quality pictures here are judged based on empirical values. The high-quality standard is a photorealistic image, which can be GPU is used for acceleration to improve rendering efficiency, so as to obtain the global illumination value at any position. While rendering the scene, obtain the position of the point in the scene, and calculate its surface normal vector, bireflection fu...

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Abstract

The invention discloses a global illumination real-time rendering method based on radial basis function neural network fitting, which belongs to the field of realistic graphics real-time rendering, including training data acquisition, neural network construction, neural network training, indirect illumination value fitting, direct Illumination value calculation, global illumination rendering, pre-computation using offline rendering, obtaining training data, determining the center of the radial basis function by subtractive clustering, using supervised learning methods for training, and fitting indirect lighting The nonlinear relationship between the position of the viewpoint, the position of the light source, the normal vector of the surface of the object in the scene, etc., and the indirect illumination value is used to replace the traditional global illumination model to complete the calculation of indirect illumination, avoiding multiple intersections of rays. This method can effectively reduce redundant data, converge at a faster speed, and well fit the results of offline rendering, and complete real-time rendering of global illumination.

Description

technical field [0001] The invention relates to a global illumination real-time rendering method based on radial basis function neural network fitting, and belongs to the technical field of realistic graphics real-time rendering. Background technique [0002] The rendering of realistic graphics mainly involves three aspects: scene geometry, object material and lighting model. The illumination model describes the relationship between the light source and the color of the surface being drawn, and can be divided into a local illumination model and a global illumination model. [0003] When the local illumination model is drawn, the color of the current drawn point is only affected by the light that directly illuminates the point, without considering the effect of light transmitted through other channels. [0004] In addition to the lighting directly from the light source, the global illumination model also needs to consider the lighting effects of the entire scene on the curre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/50
Inventor 刘惠义姚承宗钱苏斌
Owner HOHAI UNIV
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