Title :
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
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;
Conference_Titel :
Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
DOI :
10.1109/IIKI.2014.21
