@inproceedings{983c015ae4e848738a91894c6cc32995,
title = "An improved method for oriented chamfer matching",
abstract = "Oriented Chamfer Matching is much more tolerable to detect object in images with clustered background. However, it is till more reliable on object template. Focused on this problem, this paper proposed a method flexibly creating deformable templates. The multiple deformable templates were created through simulating the 3D perspective projection of 2D template. The method called Procrustes Alignment was utilized to combine all the deformable templates into a unified one. The proposed method was tested on ETHZ shape class dataset and better detection results were acquired.",
keywords = "3D Perspective Projection, Clustered Background, Oriented Chamfer Matching, Procurstes Alignment",
author = "Jian Dong and Changyin Sun and Wankou Yang",
year = "2013",
doi = "10.1007/978-3-642-42057-3\_110",
language = "英语",
isbn = "9783642420566",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "875--879",
booktitle = "Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers",
note = "4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013 ; Conference date: 31-07-2013 Through 02-08-2013",
}