NDLI: Embedded facial image processing with Convolutional Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Mamalet, F. Roux, S. Garcia, C.
Copyright Year	2010
Description	Author affiliation: Orange Labs, France (Mamalet, F.; Roux, S.; Garcia, C.)
Abstract	This paper presents an embedded facial image analysis framework based on Convolutional Neural Networks (ConvNets). This robust framework has been proposed by Garcia, Delakis and Duffner on general purpose workstations without any constraints on computational and memory resources. We show that ConvNets, which consist of a pipeline of convolution and subsampling operations followed by a Multi Layer Perceptron, are particularly well suited for implementation on embedded processors. We present a set of high-level optimizations, such as automatic fractional transformation, convolution and subsam-pling fusion and memory requirement optimizations that can be applied to these algorithms without any loss in performance, leading to a speedup factor up to 700 compared to the reference implementation. This work leads to a face processing library able to handle the complete framework and its applications on mobile phones.
Starting Page	261
Ending Page	264
File Size	495894
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Neural networks Convolution Image analysis Robustness Workstations Pipelines Performance loss Face Libraries
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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