An improved variogram analysis of the maximum expected disparity in stereo images

Authors:
Bogusław Cyganek;Jan Borgosz
Affiliations:
University of Mining and Metallurgy, Department of Electronics, Kraków, Poland;University of Mining and Metallurgy, Department of Electronics, Kraków, Poland
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

Citing 6
Cited 1

Image processing and data analysis: the multiscale approach

Image processing and data analysis: the multiscale approach
Gaussian Scale-Space Theory

Gaussian Scale-Space Theory
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

International Journal of Computer Vision
Maximum disparity threshold estimation for stereo imaging systems via variogram analysis

ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Computer platform for transformation of visual information into sound sensations for vision impaired persons

ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
View synthesis using stereo vision

View synthesis using stereo vision

Temporal consistent real-time stereo for intelligent vehicles

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper concerns the method of estimation of one of the initial parameters for stereo image processing - the maximum expected disparity value. An automatic assessment of this parameter would benefit in improvement of automation and performance of stereo methods. The authors have developed an improved version of the heuristic method of estimation of the maximum disparity value for real stereo images. It is based on statistical analysis of the spatial correlation between stereo images - the so called image variograms, used so far only to single images and extended to the processing of stereo views by authors of this paper.