节点文献
基于图像分解的光照估计算法
Illumination estimation based on image decomposition
【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。
【Abstract】 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.
【Key words】 illumination estimation; image decomposition; reflected light; global illumination model;
- 【文献出处】 计算机工程与科学 ,Computer Engineering & Science , 编辑部邮箱 ,2021年08期
- 【分类号】TP391.9
- 【被引频次】1
- 【下载频次】255