Illumination data prediction method and system based on neural network, terminal and medium

A neural network and data prediction technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as poor efficiency of real-time rendering

Active Publication Date: 2020-10-27
SHANGHAI TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a neural network-based illumination data prediction method, system, terminal and me

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  • Illumination data prediction method and system based on neural network, terminal and medium
  • Illumination data prediction method and system based on neural network, terminal and medium
  • Illumination data prediction method and system based on neural network, terminal and medium

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Embodiment Construction

[0023] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0024] It should be noted that in the following description, reference is made to the accompanying drawings, which describe several embodiments of the present application. It is to be understood that other embodiments may be utilized, and mechanical, structural, electrical, and operational cha...

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Abstract

The invention provides an illumination data prediction method and system based on a neural network, a terminal and a medium. The method comprises the steps: collecting the image data of an object under illumination based on different visual angles, so as to construct a multi-dimensional geometric model of the object; capturing a plurality of groups of sampling data based on the multi-dimensional geometric model to serve as training data for training a neural network model; wherein the neural network model is used for predicting reflected illumination data of the object at any visual angle. According to the technical scheme provided by the invention, the neural network used for predicting the illumination data is established based on the sampling data, and the reflection illumination data under any visual angle is predicted through the neural network, so that the high-fidelity rendering image is obtained, Meanwhile, a very high rendering compression ratio and high efficiency of real-time rendering can be achieved.

Description

technical field [0001] The present invention relates to the technical field of computer vision algorithms, in particular to a neural network-based lighting data prediction method, system, terminal and medium. Background technique [0002] The light field is a description of the spatial and directional distribution of the radiance of light in space, and a complete description of the propagation of light in space. Light field rendering is a kind of image-based rendering. In theory, compared with traditional 3D model rendering, in real-time rendering, light field rendering can obtain an effect closer to reality than traditional 3D model rendering. [0003] However, the current light field rendering technology is not satisfactory in terms of the fidelity of rendered images, the compression rate of rendering, and the efficiency of real-time rendering. Therefore, there is an urgent need in the technical field for a technical solution that can achieve high compression ratio and re...

Claims

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Application Information

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IPC IPC(8): G06T15/50G06N3/04G06N3/08
CPCG06T15/506G06N3/08G06N3/044G06N3/045Y04S10/50
Inventor 虞晶怡陈安沛吴旻烨张迎梁
Owner SHANGHAI TECH UNIV
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