Observatorio de I+D+i UPM

Descripción
In this paper we present DCFE, a real-time facial landmarkregression method based on a coarse-to-fine Ensemble of Regression Trees(ERT). We use a simple Convolutional Neural Network (CNN) to gen-erate probability maps of landmarks location. These are further refinedwith the ERT regressor, which is initialized by fitting a 3D face modelto the landmark maps. The coarse-to-fine structure of the ERT letsusaddress the combinatorial explosion of parts deformation. Withthe 3Dmodel we also tackle other key problems such as robust regressor initial-ization, self occlusions, and simultaneous frontal and profileface analysis.In the experiments DCFE achieves the best reported result in AFLW,COFW, and 300W private and common public data sets.
Internacional	Si
Nombre congreso	Proceedings European Conference on Computer Vision, ECCV
Tipo de participación	960
Lugar del congreso
Revisores	Si
ISBN o ISSN	978-3-030-01263-2
DOI
Fecha inicio congreso	08/09/2018
Fecha fin congreso	14/09/2018
Desde la página	609
Hasta la página	624
Título de las actas	Facial Landmarks Detection Using a Cascade of Recombinator Networks.

Esta actividad pertenece a memorias de investigación

• Autor: Roberto Valle Fernandez (UPM)
• Autor: José Miguel Buenaposada Biencit (UPM)
• Autor: Luis Baumela Molina (UPM)

• Creador: Grupo de Investigación: Visión por Computador y Robótica Aérea
• Departamento: Inteligencia Artificial