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Displaying 1-6 out of 6 total
Toward a Theory of Statistical Tree-Shape Analysis
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By A. Feragen,P. Lo,M. de Bruijne,M. Nielsen,F. Lauze
Issue Date:August 2013
pp. 2008-2021
To develop statistical methods for shapes with a tree-structure, we construct a shape space framework for tree-shapes and study metrics on the shape space. This shape space has singularities which correspond to topological transitions in the represented tr...
Dense iterative contextual pixel classification using Kriging
Found in: Computer Vision and Pattern Recognition Workshop
By M. Ganz, M. Loog, S. Brandt, M. Nielsen
Issue Date:June 2009
pp. 87-93
In medical applications, segmentation has become an ever more important task. One of the competitive schemes to perform such segmentation is by means of pixel classification. Simple pixel-based classification schemes can be improved by incorporating contex...
Bicycle chain shape models
Found in: Computer Vision and Pattern Recognition Workshop
By S. Sommer, A. Tatu, Chen Chen, D.R. Jurgensen, M. de Bruijne, M. Loog, M. Nielsen, F. Lauze
Issue Date:June 2009
pp. 157-163
In this paper we introduce landmark-based pre-shapes which allow mixing of anatomical landmarks and pseudo-landmarks, constraining consecutive pseudo-landmarks to satisfy planar equidistance relations. This defines naturally a structure of Riemannian manif...
Towards a Parallel Data Mining Toolbox
Found in: Parallel and Distributed Processing Symposium, International
By Peter Christen, Markus Hegland, Ole M. Nielsen, Stephen Roberts, Peter Strazdins, Tatiana Semenova, Irfan Altas, Timothy Hancock
Issue Date:April 2001
pp. 30156a
This paper presents research projects tackling two aspects in data mining. First, a toolbox is discussed that al-lows flexible and interactive data exploration, analysis and presentation using the scripting language Python. The advantages of this toolbox a...
Surface reconstruction: GNCs and MFA
Found in: Computer Vision, IEEE International Conference on
By M. Nielsen
Issue Date:June 1995
pp. 344
The reconstruction of noise corrupted surfaces can be inferred by methodologies such as Bayesian estimation and minimum description length. Both of these imply a formulation where the reconstruction minimizes a functional. Often this functional is non conv...
Feature displacement interpolation
Found in: Image Processing, International Conference on
By M. Nielsen, P.R. Andresen
Issue Date:October 1998
pp. 208
Given a sparse set of feature matches, we want to compute an interpolated dense displacement map. The application may be stereo disparity computation, flow computation, or non-rigid medical registration. Also estimation of missing image data, may be phrase...