Sampling the disparity space image

Author

Szeliski, Richard ; Scharstein, Daniel

Author_Institution

Microsoft Res., Redmond, WA, USA

Volume

26

Issue

3

fYear

2004

fDate

3/1/2004 12:00:00 AM

Firstpage

419

Lastpage

425

Abstract

A central issue in stereo algorithm design is the choice of matching cost. Many algorithms simply use squared or absolute intensity differences based on integer disparity steps. In this paper, we address potential problems with such approaches. We begin with a careful analysis of the properties of the continuous disparity space image (DSI) and propose several new matching cost variants based on symmetrically matching interpolated image signals. Using stereo images with ground truth, we empirically evaluate the performance of the different cost variants and show that proper sampling can yield improved matching performance.

Keywords

image matching; image sampling; stereo image processing; absolute intensity differences; disparity space image; image sampling; integer disparity steps; matching cost variants; performance evaluation; potential problems; stereo algorithm design; stereo images; symmetrically matching interpolated image signals; Algorithm design and analysis; Constraint optimization; Cost function; Filling; Frequency; Image analysis; Image sampling; Senior members; Signal analysis; Surface treatment; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Photogrammetry; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2004.1262341

Filename

1262341