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IVC
2006
154views more  IVC 2006»
13 years 7 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
12 years 11 months ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
ICRA
2009
IEEE
160views Robotics» more  ICRA 2009»
14 years 2 months ago
Tracking of facial features to support human-robot interaction
— In this paper we present a novel methodology for detection and tracking of facial features like eyes, nose and mouth in image sequences. The proposed methodology is intended to...
Maria Pateraki, Haris Baltzakis, Polychronis Konda...
ICIP
2009
IEEE
14 years 8 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...
PR
2007
192views more  PR 2007»
13 years 7 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran