An improved ASM matching method

DOI

10.2991/iccsee.2013.444How to use a DOI?

Keywords

ASM, average shape, matching algorithm, similar image

Abstract

The traditional active shape model (ASM), according to the principal component analysis, gets main components for the shape, and then the average shape model is obtained to approximately express target object model. However, when the difference between the feature shape model of target and the average shape model is large, it is difficult to match. Therefore, this paper analyses the shortage of the traditional matching algorithm, and proposes an improved algorithm. This algorithm searches the most similar image to the target object from the training sample set, and uses the shape model of the most similar image instead of the average shape model to approximately express target object model, so it can avoid the failure caused by the large difference between the feature shape model of the target and the average shape model.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Cai-Xian Liao
AU  - Xiao-Jun Wu
PY  - 2013/03
DA  - 2013/03
TI  - An improved ASM matching method
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1773
EP  - 1776
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.444
DO  - 10.2991/iccsee.2013.444
ID  - Liao2013/03
ER  -