A Cloud Based Object Recognition Platform for IOS

Author

Lianzhang Zhu ; Xuexing Zheng ; Pengfei Li ; Yong Wang

Author_Institution

Coll. of Comput. & Commun. Eng., China Univ. of Pet., Qingdao, China

fYear

2014

Firstpage

68

Lastpage

71

Abstract

Food recognition is not only a challenging task but also important for patients and travelers. In order to provide a good recognition capability, we propose a cloud based object recognition platform for IOS platform, in which an improved 2DPCA algorithm is used for object recognition. A Hadoop based cloud server is built for this platform. To show the effectiveness of this platform, a series of tests are finished using ALOI (Amsterdam Library of Object Images) database. These tests show that our approach has a better performance in multi-radians and multi-illumination environment compared with existing approaches.

Keywords

object recognition; principal component analysis; ALOI database; Amsterdam library of object image database; Hadoop based cloud server; IOS platform; cloud based object recognition platform; food recognition; improved 2DPCA algorithm; Cloud computing; Eigenvalues and eigenfunctions; Face recognition; Object recognition; Servers; Testing; Training; 2DPCA; Cloud Computing; Object Recognition; Pattern Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on

Type

conf

DOI

10.1109/IIKI.2014.21

Filename

7064000