Analysis of photometric factors based on photometiric linearization
Analysis of photometric factors based on photometiric linearization
复制标题
DOI：
10.1364/josaa.24.003326
复制
发表时间：
2007-10-01
影响因子：
1.9
通讯作者：
Shakunaga, Takeshi
中科院分区：
文献类型：
--
作者：
Mukaigawa, Yasuhiro;Ishii, Yasunori;Shakunaga, Takeshi
我们提出了一种分析漫反射、镜面反射、附加阴影和投射阴影等光度因素的方法。为了分析真实图像，我们使用了最初用于图像合成的光度线性化方法。首先，我们证明了每个像素可以通过像素强度的简单比较进行光度分类。我们的分类算法既不需要三维形状信息，也不需要场景的颜色信息。然后，我们证明了在线性化过程中引入新的基于分类的准则可以提高光度线性化的精度。实验结果表明，在不使用特殊装置的情况下，可以对光度因子进行正确的分类。进一步的实验表明，该方法对光度立体是有效的。(c) 2007年美国光学学会。
We propose a method for analyzing photometric factors, such as diffuse reflection, specular reflection, attached shadow, and cast shadow. For analyzing real images, we utilize the photometric linearization method, which was originally proposed for image synthesis. First, we show that each pixel can be photometrically classified by a simple comparison of the pixel intensity. Our classification algorithm requires neither 3D shape information nor color information of the scene. Then, we show that the accuracy of the photometric linearization can be improved by introducing a new classification-based criterion to the linearization process. Experimental results show that photometric factors can be correctly classified without any special devices. A further experiment shows that the proposed method is effective for photometric stereo. (c) 2007 Optical Society of America.