Face Alignment Using K-Cluster Regression Forests With Weighted Splitting

In this letter, we present a face alignment pipeline based on two novel methods: weighted splitting for K-cluster Regression Forests (KRF) and three-dimensional Affine Pose Regression (3D-APR) for face shape initialization. Our face alignment method is based on the Local Binary Feature (LBF) framewo...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE signal processing letters 2016-11, Vol.23 (11), p.1567-1571
Hauptverfasser:	Kowalski, Marek, Naruniec, Jacek
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision Face face alignment Feature extraction pose estimation random forest Shape Three-dimensional displays Transforms Vegetation
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!