by Morales, S and Klette, R
Abstract:
Prediction errors are commonly used when analyzing the performance of a multi-camera stereo system using at least three cameras. This paper discusses this methodology for performance evaluation for the first time on long stereo sequences (in the context of vision-based driver assistance systems). Three cameras are calibrated in an ego-vehicle, and prediction error analysis is performed on recorded stereo sequences. They are evaluated using various common stereo matching algorithms, such as belief propagation, dynamic programming, semi-global matching, or graph cut. Performance is evaluated on both synthetic and real data. © 2009 Springer Berlin Heidelberg.
Reference:
A third eye for performance evaluation in stereo sequence analysis (Morales, S and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5702 LNCS, 2009.
Bibtex Entry:
@inproceedings{morales2009aanalysis,
author = "Morales, S and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1078--1086",
title = "A third eye for performance evaluation in stereo sequence analysis",
volume = "5702 LNCS",
year = "2009",
abstract = "Prediction errors are commonly used when analyzing the performance of a multi-camera stereo system using at least three cameras. This paper discusses this methodology for performance evaluation for the first time on long stereo sequences (in the context of vision-based driver assistance systems). Three cameras are calibrated in an ego-vehicle, and prediction error analysis is performed on recorded stereo sequences. They are evaluated using various common stereo matching algorithms, such as belief propagation, dynamic programming, semi-global matching, or graph cut. Performance is evaluated on both synthetic and real data. © 2009 Springer Berlin Heidelberg.",
doi = "10.1007/978-3-642-03767-2_131",
isbn = "3642037666",
isbn = "9783642037665",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}