Illumination model calculation method, material parameter processing method and processing device thereof

Abstract

The invention provides an illumination model calculation method, and the method comprises the steps: S1, carrying out the front view correction and front view cutting of a plurality of phase images, collected by a ToF module, of a real object, and obtaining a plurality of phase images, with the same resolution, in the front view direction; S2, performing depth value extraction on the cut phase image, performing spatial concave-convex information and normal vector calculation pixel by pixel, performing matrix storage is on the cut phase image information and normal vector information in sequence, and converting the cut phase image information and normal vector information into an illumination pixel set of the same pixel; S3, carrying out spatial fitting of illumination information on each pixel point, and calculating concave-convex information, normal vector information, reflectivity and transparency on each texture pixel to calculate diffuse reflection data of the object in the virtualillumination environment. The invention further provides a material parameter processing method based on the illumination model calculation method and a material parameter processing device thereof.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a material data processing method and device. Background technique [0002] With the development of augmented reality technology (Augmented Reality, referred to as AR) and virtual reality technology (Virtual Reality, referred to as VR) and the popularization of the application of 3D technology, people's demand for 3D modeling of objects is gradually increasing. [0003] 3D models are widely used in animation, games, virtual reality, augmented reality and other fields, and have broad application prospects. The model can be established through modeling software or a 3D scanner. Although a high-precision geometric model can be obtained, it is often difficult to realize the texture information of the real scene. [0004] At present, in order to enhance the texture information of the 3D model, digital cameras and SLR cameras are used to collect matching object texture picture...

AI Technical Summary

Problems solved by technology

However, this method consumes a lot of labor costs, its texture features are limited to RGB color information, and lacks the bump texture and lighting model that match the real world, which greatly reduces the authenticity of the 3D model

[0005] The 3D

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