Similarity of Macaque Face Images based on PCA
Authors
Jiaqi Zhang, Xiaoyuan Li, Yuxia H, Zhenlong Wang
Corresponding Author
Jiaqi Zhang
Available Online May 2014.
- DOI
- 10.2991/iccia.2012.239How to use a DOI?
- Keywords
- principle component analysis(PCA), similarity, Block PCA, t-test
- Abstract
In this work, Block PCA based method is used to build several subspaces for each macaque face image and a similarity criterion is proposed to distinguish family properties of macaques. A proper threshold value is determined through statistical analysis. Then, a series of experiments are carried out to verify the feasibility of this approach. The results demonstrate that it is proper to utilize similarity value as judgment criterion of macaque family properties and higher accurate rate is obtained. It can provide an effective way for population recognition of other species.
- 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/).
Cite this article
TY - CONF AU - Jiaqi Zhang AU - Xiaoyuan Li AU - Yuxia H AU - Zhenlong Wang PY - 2014/05 DA - 2014/05 TI - Similarity of Macaque Face Images based on PCA BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 978 EP - 981 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.239 DO - 10.2991/iccia.2012.239 ID - Zhang2014/05 ER -