Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-4127
Online ISSN:
0976-4135


  About JMPT
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)

 

 
Journal of Multimedia Processing and Technologies
 

 

Implementation of an Evolutionary Facial Recognition Algorithm on JETSON TK 1
Mohamed Salah Salhi, Atef Alaaeddine Sarraj, Hamid Amiri
Ecole Nationale d'Ingénieurs de Tunis, Tunisia
Abstract: This paper aims to contribute in visual computing over the implementation of face recognition algorithms on Jetson TK1. This powerful tool is a NVIDIA’s embedded Linux development platform featuring a Tegra K1 SOC which contains a CPU, a GPU and an ISP in a single chip. The Tegra K1 ‘class one’ is very faster than the former Tegra 2 ‘class two’ and is the most efficient GPU in the ARM world. This particularity added to some optimizations we have made on implementation strategy and on recognition face algorithms conduct us to reach good results in real time systems RTS.
Keywords: Face Recognition Algorithm, Jetson TK1 Tool, Tegra K1 SoC, ARM World, Implementation Over RTS Implementation of an Evolutionary Facial Recognition Algorithm on JETSON TK 1
DOI:https://doi.org/10.6025/jmpt/2019/10/1/1-17
Full_Text   PDF 6.8 MB   Download:   72  times
References:[1] Lu, Chaochao., Zhao, Deli., Tang, Xiaoou (2013). Face Recognition Using Face Patch Networks . University of Hong Kong, ICCV 2013, IEEE xplore. [2] Cheng-Chin, Tai, Wen-Kai.,Yang, Mau-Tsuen., Huang, Yi-Timg., Huang, chi-Janng. (2003). A novel method for detecting lips, eyes and faces in real time. Real-Time Imaging, 9 (4) 277-287. [3] Soyez, Fabien (2013). Reconnaissance faciale : plus vraiment de la science- fiction. CNET France. Janvier 2013. [4] Willich, Martin (2008). 2nd End-User Group Meeting on 3D Face Recognition , February 2008, Berlin. [5] Ming-Hsuan Yang, David J., Kriegman, Narendra Ahuja: (2002). Detecting faces images: A survey. IEEE Transaction on Pattern Analysis and Machine Intelligence, 24 (1) 34-58. [6] Van Wambeke, M. (2010). Reconnaissance et suivi de visages et implémentation en robotique temps-réel. Master Ingénieur Civil en Génie Biomédical. Belgique. Université catholique de Lovain. [7] Viola, Paul., Jones, Michael. (2001). Robust real-time object detection . In: Second international work shop on statistical and computation theories of vision, Vancouver, Canada, (July 13). [8] Viola, P., Jones, M. (2004). Robust real-time face detection . International Journal of Computer Vision, 57 (2) (2004), p. 137- 154.

Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info