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On Some Geometric and Structural Constraints in Stereo Line Segment Matching.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
De-Shuang Huang
Heutte, Laurent
Loog, Marco
Karimian, Ghader
Raie, Abolghasem
Source :
Advanced Intelligent Computing Theories & Applications. With Aspects of Theoretical & Methodological Issues; 2007, p1202-1208, 7p
Publication Year :
2007

Abstract

In this paper, selecting line segments as matching features in stereo vision, the orientation difference (O.D.) of the line segments is more deeply evaluated than the previous studies and two new constraints i.e. ordering and collinearity are proposed. The O.D. was supposed to be used for an indoor application, reducing candidates without elimination of the actual matches, especially if the line is horizontal or vertical with respect to the floor. The findings of this paper are as follows: 1) Applying a threshold on O.D. would result in a missing probability for the actual matches and this probability can be calculated for any given threshold, 2) The upper limit of O.D. for horizontal and vertical lines is a function of geometric parameters of the system, 3) An optimal tilt angle, whose results is the minimum upper limit for O.D., can be computed, 4) for disambiguation process, ordering and collinearity constraints are proposed. These are applied in a matching algorithm and their effectiveness is investigated on real stereo images. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540741701
Database :
Complementary Index
Journal :
Advanced Intelligent Computing Theories & Applications. With Aspects of Theoretical & Methodological Issues
Publication Type :
Book
Accession number :
33100804
Full Text :
https://doi.org/10.1007/978-3-540-74171-8_122