An indoor automatic lighting method and system based on maximum lighting entropy

Abstract

The invention discloses an indoor automatic lighting method and system based on maximum illumination entropy. The method includes: constructing an indoor 3D scene model; determining the number and position of light sources for the scene based on the indoor 3D scene model according to FBS theory; Design criteria and color psychology determine the light color temperature for the light source; calculate the illumination entropy of the corresponding light source based on the distribution of the light source in the scene; use an intelligent optimization algorithm to generate random disturbances, disturb the brightness value of each light source, calculate the illumination entropy after the disturbance, and set the The cycle restriction conditions are continuously cycled to obtain the maximum illumination entropy; the exposure value of the maximum illumination entropy is taken as the optimal solution of the brightness of each light source, and light distribution is performed according to the optimal solution. The indoor automatic lighting method and system based on the maximum lighting entropy provided by the present invention regulates the process of positioning, color selection and lighting according to FBS, color psychology, rationality evaluation criteria and optimization algorithms, and has simple, lightweight, fast features.

Description

technical field [0001] The invention relates to the technical field of automatic layout of indoor virtual scenes, in particular to an indoor automatic lighting method and system based on maximum lighting entropy. Background technique [0002] The existing indoor rendering lighting scheme is: according to the shape of the apartment to be rendered, the furniture in the room, manually arrange the light before rendering, so that the rendered light and shadow effect can meet the expectations. However, when the scene is complex, such as a large apartment, a lot of furniture, and complicated furniture placement, this makes the lighting operation very complicated; in addition, the rendering quality is uncontrollable: after manual lighting, it is often caused by insufficient light in the manual lighting. The rendered scene is too dark, or too much light is manually placed, resulting in abnormal situations such as scene exposure and rendering time being too long. Therefore, the need ...

AI Technical Summary

Problems solved by technology

[0004] (1) The rendering methods and photometric definitions of various 3D software are not uniform;

[0005] (2) There are many changes in scene content, inconsistent model forms, and difficult quantification of user needs;

[0006] (3) There is no objective evaluation criterion for lighting results

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