Regularized single-kernel conditional density estimation for face description

TY - GEN

T1 - Regularized single-kernel conditional density estimation for face description

AU - Robinson, John A.

PY - 2009

Y1 - 2009

N2 - This paper describes a single-kernel conditional density estimation system that obtains descriptive parameters including gender, age, ethnicity, pose and expression from images of faces. The method is able to do fast estimation of 39 parameters from live video, achieving accuracies comparable with alternatives that yield only a few parameters. The single-kernel model can be interrogated to examine the properties of parameters and the training regime and thus guide design of more complicated estimators.

AB - This paper describes a single-kernel conditional density estimation system that obtains descriptive parameters including gender, age, ethnicity, pose and expression from images of faces. The method is able to do fast estimation of 39 parameters from live video, achieving accuracies comparable with alternatives that yield only a few parameters. The single-kernel model can be interrogated to examine the properties of parameters and the training regime and thus guide design of more complicated estimators.

KW - Face description

UR - http://www.scopus.com/inward/record.url?scp=77951942558&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2009.5414095

DO - 10.1109/ICIP.2009.5414095

M3 - Conference contribution

SN - 978-1-4244-5653-6

VL - 1-6

SP - 2461

EP - 2464

BT - 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

PB - IEEE

CY - NEW YORK

T2 - 2009 16th IEEE International Conference on Image Processing (ICIP)

Y2 - 7 November 2009 through 10 November 2009

ER -