Face Extraction Using Skin Color and PCA Face Recognition in a Mobile Cloudlet Environment

Praseetha, V M; Vadivel, S.

doi:10.1109/mobilecloud.2016.11

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Approach 1: Face Recognition As a Web Application Using Clou1

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Cited by 6 publications

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“…In this approach [33] the mobile device acts as a thin client which will transfer the captured image to the cloudlet server. All other processing required for face recognition is done on the cloudlet server and finally the mobile device gets the result from the cloudlet server.…”

Section: Approach 1: Face Recognition As a Web Application Using Cloumentioning

confidence: 99%

Mobile-Cloudlet Face Recognition: Two Different Approaches

Praseetha¹,

Bansal²,

Vadivel³

2018

JCP

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The resource scarcity of mobile devices, pulls them back from executing the computation intensive computer vision applications like face recognition, augmented reality, video processing etc. As a solution cyber foraging, where mobile devices offload either computation or data or both to a high performance system within their network, can be applied. Cloudlet is a new emerging technique that scales up the computational ability of mobile devices to handle the high computation requirement. It allows mobile client to communicate with nearby available server and the minimal processed data can be transferred from mobile app to the server which will do the necessary processing and result can be send back to mobile in real time. This paper explains two novel approaches of successful implementation of principal component analysis (PCA) based face recognition using VM Based Cloudlet on mobile device.

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Section: Approach 1: Face Recognition As a Web Application Using Cloumentioning

confidence: 99%