Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

13

ICIP
2009
IEEE

favoriteEmaildiscussreport

208views Image Processing» more ICIP 2009»

Age Regression From Faces Using Random Forests

14 years 6 months ago

Age Regression From Faces Using Random Forests

Download www.ist.temple.edu

Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security to advertising and multimedia. In this paper the first application of the random forest for age regression is proposed. This method offers the advantage of few parameters that are relatively easy to initialize. Our method learns salient anthropometric quantities without a prior model. Significant implications include a dramatic reduction in training time while maintaining high regression accuracy throughout human development.

Real-time Traffic

ICIP 2009 | Image Processing | Regression From Faces |

claim paper

Related Content

» Real Time Head Pose Estimation with Random Regression Forests

» Realtime facial feature detection using conditional regression forests

» Design sparse features for age estimation using hierarchical face model

» A SemiSupervised Approach to Perceived Age Prediction from Face Images

» Random Forests Feature Selection with KPLS Detecting Ischemia from Magnetocardiograms

» Prediction of Individual NonLinear Aging Trajectories of Faces

» Calibrating Random Forests

» Population Shape Regression From Random Design Data

» Web image mining towards universal age estimator

Post Info
More Details (n/a)

Added	10 Nov 2009
Updated	26 Dec 2009
Type	Conference
Year	2009
Where	ICIP

Comments (0)