Planar facets segmentation using a multiresolution dense disparity field estimation

Author

Oisel, Lionel ; Morin, Luce ; Memin, Etienne ; Labit, Claude

Author_Institution

IRISA/INRI, Campus Univ. de Beaulieu, Rennes, France

Volume

2

fYear

1998

fDate

4-7 Oct 1998

Firstpage

617

Abstract

In the present paper we propose a new algorithm for planar facets segmentation of sequences of uncalibrated images in order to recover 3D models of complex scenes. This is performed using a two-step algorithm. First a robust and regularized dense disparity field is computed under the epipolar geometry constraint. The resulting field is segmented according to homographic models using an iterative Delaunay triangulation

Keywords

image resolution; image segmentation; image sequences; iterative methods; parameter estimation; 3D information recovery; 3D models; complex scenes; epipolar geometry constraint; homographic models; iterative Delaunay triangulation; multiresolution dense disparity field estimation; planar facets segmentation; regularized dense disparity field; robust dense disparity field; two-step algorithm; uncalibrated image sequences; Computational geometry; Context modeling; Image reconstruction; Image resolution; Image segmentation; Iris; Iterative algorithms; Layout; Optical scattering; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723547

Filename

723547