NDLI: Selective quantifiable facial assessment of aging

Content Provider	IEEE Xplore Digital Library
Author	Mehta, G. Druzgalski, C.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., California State Univ. - Long Beach, Long Beach, CA, USA (Mehta, G.; Druzgalski, C.)
Abstract	Imaging represents a technique of choice in evaluation of the visual effects of aging and associated with that occurrence of wrinkles. In particular, skin wrinkles typically occur due to aging processes, including loss of body mass, sun damage, smoking, squinting and other factors. They represent a clear and easily accessible indicator of changes. As such, one can also acquire useful information about the aging process in skin by analyzing the wrinkles. To this end, we utilize a combination of numerical techniques, including color quantization, image segmentation, and various edge detection algorithms in order to perform automated wrinkle counting and wrinkle density calculations. As a more appropriate alternative to chronological age, such a methodology allows us to come up with quantifiable measures for skin aging, which may be used for performing statistics and extracting general patterns associated with physiological aging of the skin, as well as extending such numerical techniques for other biomedical applications in which distinct topological features contain important information about biological processes. Different subjects were used to test the techniques and extract aging patterns by examining the skin immediately underneath the lower eyelid as our region of interest. Numerically processed photographs, included counting the number of wrinkles meeting predefined threshold conditions, and calculating the corresponding wrinkle density for a given subject and particular conditions. Applicability and practicality of different edge detection methods were also a part of the studies as demonstrated.
Starting Page	1
Ending Page	6
File Size	376879
Page Count	6
File Format	PDF
ISBN	9781479935543
ISSN	2327817X
e-ISBN	9781479935550
DOI	10.1109/PAHCE.2014.6849637
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Image edge detection Skin wrinkles numerical analysis Aging Gray-scale Cameras Skin Physiology skin aging edge detection
Content Type	Text
Resource Type	Article

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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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