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» Hierarchical Shape Modeling for Automatic Face Localization
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ICIAP
2001
Springer
15 years 9 months ago
Automatic Features Detection for Overlapping Face Images on their 3D Range Models
We describe an algorithm for the automatic features detection in 2D color images of human faces. The algorithm proceeds with subsequent refinements. First, it identifies the sub-i...
Raffaella Lanzarotti, Paola Campadelli, N. Alberto...
ICIP
2007
IEEE
15 years 1 months ago
A Novel Facial Feature Point Localization Method on 3D Faces
Although 2D-based face recognition methods have made great progress in the past decades, there are also some unsolved problems such as PIE. Recently, more and more researchers hav...
Peng Guan, Yaoliang Yu, Liming Zhang
FGR
2006
IEEE
217views Biometrics» more  FGR 2006»
15 years 3 months ago
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
Wei Fan, Dit-Yan Yeung
AMFG
2003
IEEE
118views Biometrics» more  AMFG 2003»
15 years 3 months ago
Shape and appearance models of talking faces for model-based tracking
This article presents a system that can recover and track the 3D speech movements of a speaker’s face for each image of a monocular sequence. A speaker-specific face model is u...
Matthias Odisio, Gérard Bailly
105
Voted
ICIP
2006
IEEE
15 years 11 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...