NDLI: Facial sketch synthesis using direct combined model

Content Provider	IEEE Xplore Digital Library
Author	Ching-Ting Tu Lien, J.-J.J.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, R.O.C. (Ching-Ting Tu; Lien, J.-J.J.)
Abstract	Automatically synthesizing the facial sketches of a facial image is highly challenging since facial images typically exhibit a wide range of poses, expressions and scales, and have differing degrees of illumination and/or occlusion. When the facial sketches are to be synthesized in the unique sketching style of a particular artist, the problem becomes even more complex. This study develops an automatic facial sketch synthesis system based on a novel direct combined model (DCM) algorithm carrying three major advantages: First, DCM approach takes account of both the local details of each facial feature and the global geometric structure of the face, and thus the synthesized sketches more accurately mimic the caricatures drawn by the artist. Second, although the training database contains only full-frontal facial images with a neutral expression, sketches with a wide variety of facial poses, gaze directions and facial expressions can be successfully synthesized. Third, previous synthesizing proposals are heavily reliant on the quality of the texture reconstruction results, which in turn are highly sensitive to occlusion and lighting effects in the input image. DCM approach accurately produces lifelike synthesized facial sketches without the need to restore the texture information lost as a result of such unfavorable conditions.
Starting Page	1196
Ending Page	1201
File Size	3073083
Page Count	6
File Format	PDF
ISBN	9781424474912
ISSN	1945788X
e-ISBN	9781424474936
DOI	10.1109/ICME.2010.5583537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Training Databases Facial features Covariance matrix Face Lighting face sketch synthesis Image processing and computer vision Eigenface statistical image models
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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