@inproceedings{a945467f3b274e46ae2f6a6122a97291,
title = "Contour based multi-object classification technology",
abstract = "We propose a contour based feature descriptor for object classification. This method uses polygonal approximation algorithm to simplify contours and use adjacent lines to encode object contours. We demonstrate the high performance of the local contour descriptor within a powerful bag of fteatures classification scheme. Through extensive evaluation on PASCAL 2007 Visual Recognition Challenge dataset set, the test results show that this local contour descriptor has many advantages. It is simple and computation efficient. And it is easy to reuse in other frameworks.",
keywords = "Bag of features, Contour feature, Feature extraction, Object classification, Object recognition",
author = "Qing Nie and Zhan, {Shou Yi}",
year = "2008",
doi = "10.1007/978-3-540-88513-9_86",
language = "English",
isbn = "3540885129",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "795--803",
booktitle = "Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings",
address = "Germany",
edition = "PART 1",
note = "1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 ; Conference date: 15-10-2008 Through 17-10-2008",
}