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» Recognizing Facial Expressions by Tracking Feature Shapes
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ICIP
2007
IEEE
15 years 11 months ago
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
14 years 1 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
ICCV
2001
IEEE
15 years 11 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
PAMI
2011
14 years 4 months ago
3D Face Reconstruction from a Single Image Using a Single Reference Face Shape
—Human faces are remarkably similar in global properties, including size, aspect ratio, and location of main features, but can vary considerably in details across individuals, ge...
Ira Kemelmacher-Shlizerman, Ronen Basri
IJCV
2000
195views more  IJCV 2000»
14 years 9 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas