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Displaying 1-13 out of 13 total
Beyond Recognition: The Promise of Biometric Analytics
Found in: Computer
By Karl Ricanek
Issue Date:September 2014
pp. 87-89
In the near future, we might be able to use biometric analytics to help answer everyday questions such as: Is the speaker on TV being honest? How much money will I need for retirement? Will using this cosmetic really make me look younger?
 
The Next Biometric Challenge: Medical Alterations
Found in: Computer
By Karl Ricanek
Issue Date:September 2013
pp. 94-96
Just as technological innovations enable identity science researchers to develop better recognition systems, they can also create novel challenges for such systems.
 
Biometrically, How Identical Are Identical Twins?
Found in: Computer
By Karl Ricanek Jr.,Gayathri Mahalingam
Issue Date:March 2013
pp. 94-96
Research indicates that identical twins' lifestyle choices and distinct experiences increase facial differentiation as they age.
 
Facial Analytics: From Big Data to Law Enforcement
Found in: Computer
By Karl Ricanek Jr.,Chris Boehnen
Issue Date:September 2012
pp. 95-97
Facial analytics is an emerging soft-biometric technology that examiners can use to contextualize images of people without encroaching on their privacy. The Web extra at http://youtu.be/T12AUY0hacs is a video interview with column editor Karl Ricanek Jr., ...
 
Fusing with context: A Bayesian approach to combining descriptive attributes
Found in: Biometrics, International Joint Conference on
By Walter J. Scheirer,Neeraj Kumar,Karl Ricanek,Peter N. Belhumeur,Terrance E. Boult
Issue Date:October 2011
pp. 1-8
For identity related problems, descriptive attributes can take the form of any information that helps represent an individual, including age data, describable visual attributes, and contextual data. With a rich set of descriptive attributes, it is possible...
 
What Are Soft Biometrics and How Can They Be Used?
Found in: Computer
By Karl Ricanek Jr.,Benjamin Barbour
Issue Date:September 2011
pp. 106-108
Face characteristics can be used for gender identification and age estimation in a wide range of biometric applications.
 
Dissecting the Human Identity
Found in: Computer
By Karl Ricanek Jr.
Issue Date:January 2011
pp. 96-97
Biometrics has emerged as the key technology for personal identification, with India leading the way in full-scale deployment of a biometric-based universal ID system.
 
Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits
Found in: Pattern Recognition, International Conference on
By Guodong Guo, Guowang Mu, Karl Ricanek
Issue Date:August 2010
pp. 3392-3395
Facial aging can degrade the face recognition performance dramatically. Traditional face recognition studies focus on dealing with pose, illumination, and expression (PIE) changes. Considering a large span of age difference, the influence of facial aging c...
 
Unconstrained Biometric Identification: Emerging Technologies
Found in: Computer
By Marios Savvides, Karl Ricanek Jr., Damon L. Woodard, Gerry Dozier
Issue Date:February 2010
pp. 56-62
Research from the Center for Advanced Studies in Identity Sciences is aggressively addressing the challenges of face and iris recognition when the subjects of interest are operating in an unconstrained environment, typically far away from the sensor, parti...
 
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Karl Ricanek Jr., Tamirat Tesafaye
Issue Date:April 2006
pp. 341-345
This paper details MORPH a longitudinal face database developed for researchers investigating all facets of adult age-progression, e.g. face modeling, photo-realistic animation, face recognition, etc. This database contributes to several active research ar...
 
An improved rendering technique for active-appearance-model-based automated age progression
Found in: ACM SIGGRAPH 2013 Posters (SIGGRAPH '13)
By Amrutha Sethuram, Eric Patterson, Karl Ricanek
Issue Date:July 2013
pp. 1-1
Age progression is the process of creating images that suggest how a person may appear in a certain amount of time based on the effects of the aging process. Traditionally these images have been created manually by forensic artists who use both art and sci...
     
Genetic based LBP feature extraction and selection for facial recognition
Found in: Proceedings of the 49th Annual Southeast Regional Conference (ACM-SE '11)
By Damon L. Woodard, Gerry Dozier, Joseph Shelton, Joshua Adams, Kamilah Purrington, Karl Ricanek, Kelvin Bryant, Khary Popplewell, Tamirat Abegaz
Issue Date:March 2011
pp. 197-200
This paper presents a novel approach to LBP feature extraction. Unlike other LBP feature extraction methods, we evolve the number, position, and the size of the areas of feature extraction. The approach described in this paper also attempts to minimize the...
     
A comparative study of active appearance model annotation schemes for the face
Found in: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '10)
By Amrutha Sethuram, Eric Patterson, Karl Ricanek
Issue Date:December 2010
pp. 367-374
Active appearance models (AAM), a group of flexible deformable models, have been widely used in various applications such as, object tracking, medical image segmentation and synthesis. AAMs are statistical models which model the shape and texture of an obj...
     
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