NDLI: GPU Accelerated Face Recognition System with Enhanced Local Ternary Patterns Using OpenCL

Content Provider	IEEE Xplore Digital Library
Author	Vinith, B. Akhila, M.K. Naik, N. Rathna, G.N.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India (Naik, N.; Rathna, G.N.) \|\| Dept. of Electron. & Commun. Eng, Nat. Inst. of Technol., Calicut, India (Vinith, B.; Akhila, M.K.)
Abstract	Enhanced Local Ternary Patterns (ELTP) significantly improves performance over other feature descriptor methods including Local Binary Patterns (LBP) and Local Ternary Patterns (LTP).Sequential implementation of ELTP results in poor performance in terms of execution time for real time systems.Speed and accuracy are important characteristics of a real time face recognition system. With the aim of fulfilling both these criteria, this paper presents an implementation of GPU Accelerated Face Recognition System with ELTP using OpenCL framework. As a result of our Optimization techniques, we have achieved highest kernel execution speedup of 374x for ELTP image and histogram generation with 4096x4096 (16MP) image resolution when it is implemented on GPU. Face recognition with ELTP showed higher recognition rates on ORL database. We also implemented LBP and LTP algorithms on GPU and compared their performances with ELTP. Similar Optimization techniques were applied for LBP kernel executions, which resulted in much higher speedups when compared to their previous implementations. Experimental results demonstrated that Parallel implementation with ELTP on GPU (AMD Radeon HD 7650M) outperforms CPU based face recognition system using LBP in terms of speed and accuracy.
Starting Page	1
Ending Page	7
File Size	687295
Page Count	7
File Format	PDF
e-ISBN	9781467367950
DOI	10.1109/DICTA.2015.7371263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Face recognition Graphics processing units Real-time systems Face Kernel Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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