A cloud based object recognition platform for IOS
L Zhu, X Zheng, P Li, Y Wang�- 2014 International Conference�…, 2014 - ieeexplore.ieee.org
L Zhu, X Zheng, P Li, Y Wang
2014 International Conference on Identification, Information and�…, 2014•ieeexplore.ieee.orgFood 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�…
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�…
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.
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