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» The RIM Framework for Image Processing
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TIP
2008
261views more  TIP 2008»
14 years 10 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
IPAS
2010
14 years 8 months ago
An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal co
In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same...
Behnood Gholami, Wassim M. Haddad, Allen Tannenbau...
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DAGM
2001
Springer
15 years 2 months ago
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition
In this paper we introduce a formalism for optimal camera parameter selection for iterative state estimation. We consider a framework based on Shannon’s information theory and se...
Joachim Denzler, Christopher M. Brown, Heinrich Ni...
ICIP
2004
IEEE
15 years 11 months ago
Robust optical flow from photometric invariants
Optical flow is widely in use in the field of image processing. In general, optical flow is computed from luminance images. However, optical flow based on luminance information hi...
Joost van de Weijer, Theo Gevers
ICIP
2009
IEEE
15 years 11 months ago
Monotone Operator Splitting For Optimization Problems In Sparse Recovery
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...