Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion

Author

Sekkati, H. ; Mitiche, A.

Author_Institution

INRS-EMT, Montreal, Que., Canada

fYear

2003

fDate

17-19 Sept. 2003

Firstpage

424

Lastpage

429

Abstract

The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as it does not require computation of image motion prior to 3D interpretation. This interpretation is obtained by minimizing a functional with two characteristic terms, one of conformity to the spatiotemporal changes in the image sequence, the other of regularization based on anisotropic diffusion. The Euler-Lagrange equations corresponding to the functional minimization are solved iteratively via the half-quadratic algorithm.

Keywords

functional equations; image sequences; iterative methods; minimisation; quadratic programming; spatiotemporal phenomena; variational techniques; 3D motion; Euler-Lagrange equations; anisotropic diffusion; conformity; dense 3D interpretation; functional minimization; half-quadratic algorithm; image sequences; iterative method; monocular images; regularization; relative depth; spatiotemporal changes; temporal sequence; variational approach; Anisotropic magnetoresistance; Cameras; Equations; Image converters; Image sequences; Layout; Minimization methods; Motion analysis; Robot vision systems; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Print_ISBN

0-7695-1948-2

Type

conf

DOI

10.1109/ICIAP.2003.1234087

Filename

1234087