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CVPR
2011
IEEE
13 years 2 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
PAMI
2006
186views more  PAMI 2006»
13 years 7 months ago
Dynamic Shape and Appearance Models
We propose a model of the joint variation of shape and appearance of portions of an image sequence. The model is conditionally linear, and can be thought of as an extension of acti...
Gianfranco Doretto, Stefano Soatto
3DIM
1999
IEEE
13 years 11 months ago
Appearance-Based Virtual View Generation of Temporally-Varying Events from Multi-Camera Images in the 3D Room
In this paper, we present an "appearance-based" virtual view generation method for temporally-varying events taken by multiple cameras of the "3D Room", develo...
Hideo Saito, Shigeyuki Baba, Makoto Kimura, Sundar...
PREMI
2005
Springer
14 years 25 days ago
Illumination Invariant Face Alignment Using Multi-band Active Appearance Model
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very...
Fatih Kahraman, Muhittin Gökmen
ICRA
2002
IEEE
209views Robotics» more  ICRA 2002»
14 years 8 days ago
Probabilistic Shape and Appearance Model for Scene Segmentation
Effective image segmentation of a digitized scene into a set of recognizable objects requires the development of sophisticated scene analysis algorithms. Progress in this area has...
Shaun S. Gleason, Mongi A. Abidi, Hamed Sari-Sarra...