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", }