论文标题
关于感知颜色空间的非参数数据分析
Nonparametric Data Analysis on the Space of Perceived Colors
论文作者
论文摘要
在3D世界中四处走动，需要一个活着的人的视觉系统依靠三个图像识别渠道，这是通过三种类型的视网膜锥完成的。牛顿，Grasmann，Helmholz和Schr $ \ ddot {o} $ dinger奠定了理解有色视觉所需的基本假设。 Resnikoff进一步推进了此类概念，后者将感知到的颜色的空间视为3D均匀的空间。 本文与Resnikoff 3D均匀空间模型上被视为随机对象的感知颜色有关。针对欧几里得模型应用于感知的颜色，说明了在机器视觉中进行颜色差异化的两种应用。
Moving around in a 3D world, requires the visual system of a living individual to rely on three channels of image recognition, which is done through three types of retinal cones. Newton, Grasmann, Helmholz and Schr$\ddot{o}$dinger laid down the basic assumptions needed to understand colored vision. Such concepts were furthered by Resnikoff, who imagined the space of perceived colors as a 3D homogeneous space. This article is concerned with perceived colors regarded as random objects on a Resnikoff 3D homogeneous space model. Two applications to color differentiation in machine vision are illustrated for the proposed statistical methodology, applied to the Euclidean model for perceived colors.
