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NIPS
2007
15 years 1 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
PAMI
2012
13 years 2 months ago
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
Kalin Kolev, Thomas Brox, Daniel Cremers
ECCV
2006
Springer
16 years 1 months ago
Face Recognition from Video Using the Generic Shape-Illumination Manifold
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Ognjen Arandjelovic, Roberto Cipolla
CVPR
2007
IEEE
16 years 1 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
ICIP
2008
IEEE
16 years 1 months ago
Spatiotemporal modeling and matching of video shots
In this paper, we propose a framework to model video sequences using spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segment...
Eric Galmar, Benoit Huet