DETERMINING REFLECTANCE PROPERTIES OF AN OBJECT USING RANGE AND BRIGHTNESS IMAGES

被引：77

作者：

IKEUCHI, K ^{[1
]}

SATO, K ^{[1
]}

机构：

[1] OSAKA UNIV,FAC ENGN SCI,DEPT CONTROL ENGN,OSAKA,JAPAN

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1991年 / 13卷 / 11期

关键词：

IMAGE RECONSTRUCTION; LAMBERTIAN REFLECTION; LEAST SQUARE FITTING; REFLECTANCE MAP; SEGMENTATION; SPECULAR REFLECTION; TORRANCE-SPARROW MODEL;

D O I：

10.1109/34.103274

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discusses a method of recovering reflectance properties of a surface from a range image given by a range finder and a brightness image given by a standard TV camera. We will use the Torrance-Sparrow model for our reflectance model. The model consists of the Lambertian and specular components; its reflectance properties consist of relative strength between the Lambertian and specular components and specular sharpness as well as light source direction. We will employ an iterative least square fitting method to obtain these parameters based on the range and brightness images. Using the obtained parameters, we segment an input image into four different parts: Lambertian reflection, specular reflection, interreflection, and shadow part. We will also reconstruct ideal images that consist of only Lambertian or specular reflection.

引用

页码：1139 / 1153

页数：15

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1991, 13 (07) :611-634

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