Title :
Nonlinear multiresolution: a shape-from-shading example
Author :
Peleg, Shmuel ; Ron, Gad
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
fDate :
12/1/1990 12:00:00 AM
Abstract :
A method for image resolution reduction that simulates the reduction of shape resolution and is to be used with shape-from-shading algorithms is presented. Resolution reduction is used for accelerating shape-from-shading algorithms using multiresolution pyramids. The goal of this correspondence is to show that resolution reduction based only on image intensities can be inferior to resolution reduction using knowledge of the surface reflectance. This is true for all cases of parameter estimation from intensity images, when the intensity is not a linear function of the parameters. Since optical reduction of images, as when moving a camera away from the object, is a simple gray-level averaging a question is cast on the general scheme of shape-from-shading. It is concluded that for accurate shape-from-shading one needs to know the distance from the object, and the shape should also be known in advance
Keywords :
computer vision; computerised picture processing; parameter estimation; computerised picture processing; gray-level averaging; image resolution reduction; intensity images; nonlinear multiresolution; parameter estimation; shape-from-shading algorithms; Computer vision; Equations; Image analysis; Image reconstruction; Image resolution; Light sources; Reflectivity; Shape; Surface reconstruction; Surface treatment;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on