One millisecond face alignment with an ensemble of regression trees

This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark positions directly from a sparse subset of pixel intensities, achieving super-realtime performance with high quality predictions. We pre...

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Bibliographic Details
Published in:	2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 1867 - 1874
Main Authors:	Kazemi, Vahid, Sullivan, Josephine
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2014
Subjects:	Alignment Boosting Computer vision Decision Trees Estimates Face Face Alignment Gradient Boosting Landmarks Pattern recognition Real-Time Regression Regression tree analysis Regularization Shape Training Training data Trees Vectors
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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