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» To learn representativeness of video frames
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146
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IVC
2006
187views more  IVC 2006»
15 years 3 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
124
Voted
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
15 years 10 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
134
Voted
ICCV
2007
IEEE
16 years 5 months ago
Rectified Surface Mosaics
We approach mosaicing as a camera tracking problem within a known parameterized surface. From a video of a camera moving within a surface, we compute a mosaic representing the tex...
Robert E. Carroll, Steven M. Seitz
124
Voted
ICIP
2003
IEEE
16 years 5 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
130
Voted
ICIP
2003
IEEE
16 years 5 months ago
Generalized motion compensation and arithmetic coding for matching pursuit coder
Matching pursuit (MP) based video coder represents an effective alternative to conventional block based DCT based architectures[I]. In this paper we propose a generalized motion c...
Kazuo Sugimoto, Fulvio Moschetti, Sadaatsu Kato, M...