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» Modelling perception using image processing algorithms
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139
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ICIP
2004
IEEE
16 years 5 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...
PR
2007
109views more  PR 2007»
15 years 3 months ago
Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
This study focuses on the segmentation and characterization of oil slicks on the sea surface from synthetic aperture radar (SAR) observations. In fact, an increase in viscosity du...
Stéphane Derrode, Grégoire Mercier
CVPR
2012
IEEE
13 years 6 months ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan
ICIP
2007
IEEE
15 years 10 months ago
A General Two-Dimensional Hidden Markov Model and its Application in Image Classification
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
102
Voted
ICANN
2001
Springer
15 years 8 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss