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IJCNN
2008
IEEE
14 years 4 months ago
On the learning of nonlinear visual features from natural images by optimizing response energies
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
Jussi T. Lindgren, Aapo Hyvärinen
ICIP
2009
IEEE
13 years 7 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
ICIP
1997
IEEE
14 years 11 months ago
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajecto...
Dorthe Meyer, Joachim Denzler, Heinrich Niemann
VRST
2004
ACM
14 years 3 months ago
Modeling and rendering of walkthrough environments with panoramic images
An important, potential application of image-based techniques is to create photo-realistic image-based environments for interactive walkthrough. However, existing image-based stud...
Angus M. K. Siu, Ada S. K. Wan, Rynson W. H. Lau
ICIAP
2005
ACM
14 years 10 months ago
A New Efficient Method for Producing Global Affine Invariants
This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely m...
Esa Rahtu, Janne Heikkilä, Mikko Salo