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» The RIM Framework for Image Processing
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ICASSP
2011
IEEE
14 years 1 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 3 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
IJCV
2002
232views more  IJCV 2002»
14 years 9 months ago
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Daniel Cremers, Florian Tischhäuser, Joachim ...
MICCAI
2006
Springer
15 years 10 months ago
Boosting and Nonparametric Based Tracking of Tagged MRI Cardiac Boundaries
Abstract. In this paper we present an accurate cardiac boundary tracking method for 2D tagged MRI time sequences. This method naturally integrates the motion and the static local a...
Zhen Qian, Dimitris N. Metaxas, Leon Axel
AFRIGRAPH
2009
ACM
15 years 4 months ago
Revisiting district six: a case study of digital heritage reconstruction from archival photographs
This paper investigates the digital reconstruction of destroyed buildings from small sets of old, uncalibrated photographs. The application domain is the heritage preservation of ...
Christopher de Kadt, James E. Gain, Patrick Marais