Approximated ground truth for stereo and motion analysis on real-world sequences


by Liu, Z and Klette, R
Abstract:
This paper approximates ground truth for real-world stereo sequences and demonstrates its use for the performance analysis of a few selected stereo matching and optical flow techniques. Basically we assume zero roll and constant tilt of an ego-vehicle (for about 10 seconds) driving on a planar road. © 2009 Springer Berlin Heidelberg.
Reference:
Approximated ground truth for stereo and motion analysis on real-world sequences (Liu, Z and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5414 LNCS, 2009.
Bibtex Entry:
@inproceedings{liu2009approximatedsequences,
author = "Liu, Z and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "874--885",
title = "Approximated ground truth for stereo and motion analysis on real-world sequences",
volume = "5414 LNCS",
year = "2009",
abstract = "This paper approximates ground truth for real-world stereo sequences and demonstrates its use for the performance analysis of a few selected stereo matching and optical flow techniques. Basically we assume zero roll and constant tilt of an ego-vehicle (for about 10 seconds) driving on a planar road. © 2009 Springer Berlin Heidelberg.",
doi = "10.1007/978-3-540-92957-4_76",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Driver assistance",
keyword = "Motion analysis",
keyword = "Performance evaluation",
keyword = "Real-world sequences",
keyword = "Stereo analysis",
language = "eng",
}