SHAPE FROM SHADING USING LINEAR-APPROXIMATION

被引：199

作者：

TSAI, PS

SHAH, M

机构：

[1] Department of Computer Science. University of Central Florida, Orlando

来源：

IMAGE AND VISION COMPUTING | 1994年 / 12卷 / 08期

基金：

美国国家科学基金会;

关键词：

PHYSICS-BASED VISION; 3D SHAPE; SHAPE FROM SHADING;

D O I：

10.1016/0262-8856(94)90002-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an extremely simple algorithm for shape from shading, which can be implemented in 25 lines of C code*. The algorithm is very fast, taking 0.2 seconds on a Sun SparcStation-1 for a 128 x 128 image, and is purely local and highly parallelizable (parallel implementation included). In our approach, we employ a linear approximation of the reflectance function, as used by others. However. the main difference is that we first use the discrete approximations for surface normal, p and q, using finite differences, and then linearize the reflectance function in depth, Z(x, y), instead of p and q. The algorithm has been tested on several synthetic and real images of both Lambertian and specular surfaces. and good results have been obtained.

引用

页码：487 / 498

页数：12