Shape reconstruction using estimated surface reflectance properties

Author

Ryu, Seok-Hyun ; Kim, Tae-Eun ; Choi, Jong-Soo

Author_Institution

Dept. of Electron. Eng., Chung-Ang Univ., Seoul, South Korea

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

29

Abstract

We propose the new method for analyzing the properties of surface reflectance and reconstructing the shape of an object using estimated reflectance parameters. We examine the hybrid reflectance surface which has a specular lobe and a diffuse component, which can be explained by the Torrance-Sparrow (1967) model. A sample sphere made of one material is used to estimate the reflectance properties by using the LMS algorithm. We can obtain the reference image which consists of the surface normal and brightness value using estimated reflectance parameters. The photometric matching method proposed is robust because it matches the object image with the reference image by considering its neighbour brightness distribution. It is expected that the proposed algorithm can be applied in vision inspection systems

Keywords

brightness; image matching; image reconstruction; inspection; least mean squares methods; parameter estimation; photometry; reflectivity; LMS algorithm; Torrance-Sparrow model; brightness value; diffuse component; estimated surface reflectance properties; hybrid reflectance surface; neighbour brightness distribution; object image; photometric matching method; reference image; sample sphere; shape reconstruction; specular lobe; surface normal value; vision inspection systems; Brain modeling; Brightness; Image reconstruction; Least squares approximation; Parameter estimation; Photometry; Reflectivity; Robustness; Shape; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559425

Filename

559425