Method for Estimating Material Reflection Parameters Based on Portable Device Acquisition Images

Abstract

The invention discloses a method for estimating material reflection parameters based on images collected by portable equipment. The steps of the method are as follows: shooting of the material ambient light map and the flash light map; estimating the roughness, specular reflection coefficient, diffuse reflection coefficient and normal map of the material according to the ambient light map; Real irradiance; solve the color channel correction vector between the ambient light map and the flash light map; determine the position of similar pixel points based on clustering and determine the final number of clusters by means of gradual iterative refinement, and give points in each class Assign the same reflection parameters. The present invention can be used to conveniently estimate the SVBRDF parameters of the material. In view of the relatively serious halo and other phenomena in some material maps estimated by the current neural network, the reflection parameters of the material can be re-estimated by taking a picture of the flash light of the material and a picture of the ambient light. , to improve rendering realism.

Description

technical field [0001] The invention relates to material reflection parameter estimation, in particular to a method for estimating material reflection parameters based on images collected by a portable device. Background technique [0002] In the real world, the appearance properties of objects under different lighting conditions and different viewing angles are determined by the material of the surface of the object. How to restore the material easily and efficiently is an important topic in computer graphics at present, which is widely used in visual effects, electronic business, product design and entertainment. However, digitally obtaining high-quality material appearances from the real world is still a challenging problem, and the biggest challenge is the great complexity of material appearances in the real world. Objects in the real world are generally composed of multiple materials, and the surfaces of the materials have complex geometry, which increases the difficul...

AI Technical Summary

Problems solved by technology

However, a large number of tests have shown that this method is not robust, especially on materials such as specular materials whose brightness changes drastically with angle changes, the output results have obvious artifacts on the parameter map, and sometimes the roughness and The specular reflection coefficient estimate has a large deviation from the true value

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