New disparity map estimation using higher order statistics

Author

Rziza, Mohammed ; Aboutajdine, Driss ; Morin, Luce ; Tamtaoui, Ahmed

Author_Institution

Dept. of Phys., Sci. Fac. of Rabat, Morocco

Volume

3

fYear

2001

fDate

2001

Firstpage

1685

Abstract

This paper presents a new algorithm of disparity map estimation. The originality of this method lies in the process of dense disparity map estimation using dynamic programming constrained by interest points and using the higher order statistics (HOS) criteria for matching noisy images. Experiments with noisy real images have validated our method and have clearly shown the improvement over the existing ones. The dense disparity map obtained is more reliable when compared to the similar second-order statistics (SOS)-based dynamic programming and HOS-based correlation methods

Keywords

dynamic programming; higher order statistics; image matching; parameter estimation; stereo image processing; HOS criteria; dense disparity map estimation; dynamic programming; higher order statistics; noisy image matching; Additive noise; Cameras; Correlation; Dynamic programming; Gaussian noise; Higher order statistics; Photometry; Physics; Search problems; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941262

Filename

941262