基于图像分解的光照估计算法  

Illumination estimation based on image decomposition

作　　者：曹天池 李秀实 李丹[1] 陈嘉南 刘爽 向未来 胡迎松[1] CAO Tian-chi;LI Xiu-shi;LI Dan;CHEN Jia-nan;LIU Shuang;XIANG Wei-lai;HU Ying-song(School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学计算机学院,湖北武汉430074

出　　处：《计算机工程与科学》2021年第8期1422-1428,共7页Computer Engineering & Science

基　　金：国家自然科学基金(61502185);中央高校基本科研业务费专项(2017KFYXJJ071)。

摘　　要：增强现实技术的目的在于将计算机生成的虚拟物体叠加到真实场景中。实现良好的虚实融合需要对场景光照进行估算,针对高光场景,利用场景中的不同反射光信息对场景进行有效的光照估计,首先通过基于像素聚类方法的图像分解对图像进行反射光的分解,得到漫反射图和镜面反射图,对漫反射图进行进一步的本征图像分解,得到反照率图和阴影图;之后结合分解结果和场景深度对输入图像的光照信息进行计算;最后使用全局光照模型对虚拟物体进行渲染,可以得到虚实场景高度融合的光照效果。The purpose of augmented reality technology is to superimpose computer-generated virtual objects into real scenes.The realization of augmented reality requires the estimation of the scene lighting.For the highlight scene,different kinds of reflected light information in the scene is used to effectively estimate the illumination.Firstly,the diffuse reflection map and the specular reflection map are obtained,and the intrinsic image decomposition of the diffuse reflection map is further performed to obtain the albedo map and the shadow map.Then,the illumination information of the input image is calculated based on the decomposition result and the depth of the scene.Finally,the global illumination model is used to render the virtual object,and the highly fused illumination effect of virtual and real scene can be obtained.

关 键 词：光照估计 图像分解 反射光 全局光照模型 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]