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ICASSP
2011
IEEE
14 years 10 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
EICS
2009
ACM
16 years 1 months ago
Edit, inspect and connect your surroundings: a reference framework for meta-UIs
Discovering and unlocking the full potential of complex pervasive environments is still approached in application-centric ways. A set of statically deployed applications often deļ...
Geert Vanderhulst, Daniel Schreiber, Kris Luyten, ...
ICCV
2009
IEEE
16 years 11 months ago
Active Appearance Models with Rotation Invariant Kernels
2D Active Appearance Models (AAM) and 3D Morphable Models (3DMM) are widely used techniques. AAM provide a fast fitting process, but may represent unwanted 3D transformations un...
Onur C. Hamsici, Aleix M. Martinez
ICCV
2007
IEEE
16 years 8 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ECCV
2004
Springer
16 years 8 months ago
Separating Transparent Layers through Layer Information Exchange
In this paper we present an approach for separating two transparent layers in images and video sequences. Given two initial unknown physical mixtures, I1 and I2, of real scene laye...
Bernard Sarel, Michal Irani