USING COLOR TO SEPARATE REFLECTION COMPONENTS
USING COLOR TO SEPARATE REFLECTION COMPONENTS
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DOI：
10.1002/col.5080100409
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发表时间：
1985-12-01
影响因子：
1.4
通讯作者：
SHAFER, SA
中科院分区：
文献类型：
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作者：
SHAFER, SA
在计算机视觉中，其目标是通过检查图像来识别对象及其位置，其中一个关键步骤是计算图像中每个点（“像素”）处可见表面的表面法线。研究了许多信息源，如表面轮廓、亮度梯度、物体运动和颜色。本文介绍了一种方法，用于分析一个标准的彩色图像，以确定在每个像素的接口（“镜面”）和身体（“漫反射”）反射量。界面反射表示来自原始图像的高光，而主体反射表示去除了高光的原始图像。这样的内在图像是令人感兴趣的，因为每种类型的反射的几何性质比黑白白色图像中强度的几何性质简单。该方法是基于一个物理模型的反射状态，两种不同类型的反射界面和身体反射发生，每种类型可以分解成一个相对的光谱分布和几何比例因子。该模型比计算机视觉和计算机图形学中使用的典型模型更通用，并且包括大多数此类模型作为特例。此外，该模型不假设点光源或场景上的均匀照明分布。三色刺激积分的性质用于导出像素值颜色分布的新模型，并且在算法中利用该模型来导出所需的量。建议扩展模型，以处理漫反射照明和分析的两个组成部分的反射。
In computer vision, the goal of which is to identify objects and their positions by examining images, one of the key steps is computing the surface normal of the visible surface at each point (“pixel”) in the image. Many sources of information are studied, such as outlines ofsuifaces, intensity gradients, object motion, and color. This article presents a method for analyzing a standard color image to determine the amount of interface (“specular”) and body (“diffuse”) reflection at each pixel. The interface reflection represents the highlights from the original image, and the body reflection represents the original image with highlights removed. Such intrinsic images are of interest because the geometric properties of each type of reflection are simpler than the geometric properties of intensity in a black‐and‐white image. The method is based upon a physical model of reflection which states that two distinct types of reflection–interface and body reflection–occur, and that each type can be decomposed into a relative spectral distribution and a geometric scale factor. This model is far more general than typical models used in computer vision and computer graphics, and includes most such models as special cases. In addition, the model does not assume a point light source or uniform illumination distribution over the scene. The properties of tristimulus integration are used to derive a new model of pixel‐value color distribution, and this model is exploited in an algorithm to derive the desired quantities. Suggestions are provided for extending the model to deal with diffuse illumination and for analyzing the two components of reflection.