by Morales, S, Woo, YW, Klette, R and Vaudrey, T
Abstract:
Stereo and motion analysis are potential techniques for providing information for control or assistance systems in various robotics or driver assistance applications. This paper evaluates the performance of several stereo and motion algorithms over a long synthetic sequence (100 stereo pairs). Such an evaluation of low-level computer vision algorithms is necessary, as moving platforms are being used for image analysis in a wide area of applications. In this paper algorithms are evaluated with respect to robustness by modifying the test sequence with various types of realistic noise. The novelty of this paper is comparing top performing algorithms on a long sequence of images, taken from a moving platform. © 2009 Springer.
Reference:
A study on stereo and motion data accuracy for a moving platform (Morales, S, Woo, YW, Klette, R and Vaudrey, T), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5744 LNCS, 2009.
Bibtex Entry:
@inproceedings{morales2009aplatform,
author = "Morales, S and Woo, YW and Klette, R and Vaudrey, T",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "292--300",
title = "A study on stereo and motion data accuracy for a moving platform",
volume = "5744 LNCS",
year = "2009",
abstract = "Stereo and motion analysis are potential techniques for providing information for control or assistance systems in various robotics or driver assistance applications. This paper evaluates the performance of several stereo and motion algorithms over a long synthetic sequence (100 stereo pairs). Such an evaluation of low-level computer vision algorithms is necessary, as moving platforms are being used for image analysis in a wide area of applications. In this paper algorithms are evaluated with respect to robustness by modifying the test sequence with various types of realistic noise. The novelty of this paper is comparing top performing algorithms on a long sequence of images, taken from a moving platform. © 2009 Springer.",
doi = "10.1007/978-3-642-03983-6_33",
isbn = "3642039820",
isbn = "9783642039829",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}