Surface reconstruction using multiple light sources and perspective projection

Author

Galo, Mauricio ; Tozzi, Clésio L.

Author_Institution

Dept. of Cartography, Univ. Estadual Paulista, Sao Paulo, Brazil

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

309

Abstract

This paper presents a method to recover 3D geometry of Lambertian surfaces by using multiple images taken from the same view point and with the scene illuminated from different positions. This approach differs from stereo photometry in that it considers the light source at a finite distance from the object and the perspective projection in image formation. The proposed model allows local solution and recovery of 3D coordinates, in addition to surface orientation. A procedure to calibrate the light sources is also presented. Results of the application of the algorithm to synthetic images are shown

Keywords

calibration; computer vision; image reconstruction; light sources; photometry; 3D coordinates; 3D geometry recovery; Lambertian surfaces; image formation; image generation; light source calibration; local recovery; local solution; machine vision; multiple images; multiple light sources; perspective projection; robotic vision; surface orientation; surface reconstruction; synthetic images; Automation; Calibration; Cameras; Equations; Geometry; Image reconstruction; Light sources; Photometry; Pixel; 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.1996.560818

Filename

560818