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» Age Regression From Faces Using Random Forests
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ICIP
2009
IEEE
14 years 6 months ago
Age Regression From Faces Using Random Forests
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 ...
CVPR
2011
IEEE
13 years 1 months ago
Real Time Head Pose Estimation with Random Regression Forests
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Gabriele Fanelli, Juergen Gall, Luc VanGool
CVPR
2012
IEEE
11 years 8 months ago
Real-time facial feature detection using conditional regression forests
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we pr...
Matthias Dantone, Juergen Gall, Gabriele Fanelli, ...
FGR
2008
IEEE
254views Biometrics» more  FGR 2008»
13 years 6 months ago
Design sparse features for age estimation using hierarchical face model
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...
IEICET
2010
207views more  IEICET 2010»
13 years 4 months ago
A Semi-Supervised Approach to Perceived Age Prediction from Face Images
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient act...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara