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- ArticleNovember 2011
Shape space estimation by SOM<Superscript>2</Superscript>
ICONIP'11: Proceedings of the 18th international conference on Neural Information Processing - Volume Part IIPages 618–627https://doi.org/10.1007/978-3-642-24958-7_72This study aims to develop an estimation method for a shape space. In this work, ‘shape space' is a nonlinear subspace formed by a class of visual shapes, in which the continuous change in shapes is naturally represented. By estimating the shape space, ...
- ArticleAugust 2011
Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space
ICIG '11: Proceedings of the 2011 Sixth International Conference on Image and GraphicsPages 320–324https://doi.org/10.1109/ICIG.2011.41Shapes of anatomical structures extracted from medical imaging usually contain diagnostic and therapeutic cues in clinical applications. In this paper, we propose a framework on analyzing disc shapes based on a geodesic metric in an anatomical shape ...
- ArticleSeptember 2010
Comparative analysis of quasi-conformal deformations in shape space
A novel approach based on the shape space concept is proposed to classify quasi-conformal deformations of 3D models. A new metric on the quotient space of meshes is introduced to capture changes of the curvature at each vertex of a simplicial complex ...
- ArticleSeptember 2010
A model of volumetric shape for the analysis of longitudinal Alzheimer's disease data
ECCV'10: Proceedings of the 11th European conference on computer vision conference on Computer vision: Part IIIPages 594–606We develop a multi-scale model of shape based on a volumetric representation of solids in 3D space. A signed energy function (SEF) derived from the model is designed to quantify the magnitude of regional shape changes that correlate well with local ...
- ArticleApril 2010
A Riemannian model of regional degeneration of the hippocampus in Alzheimer's disease
ISBI'10: Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to MacroPages 237–240We develop a Riemannian model of shape of solids in 3D space to map and compare localized hippocampal atrophy in normal aging, conversion to Alzheimer's disease (AD), and progression of the disorder over a 1-year period. The study is based on magnetic ...
- ArticleJune 2009
Mapping hippocampal atrophy with a multi-scale model of shape
We construct a multi-scale model of shape of surfaces in 3D space based on the heat kernel associated with the Laplace-Beltrami operator. The model is applied to the analysis of longitudinal neuroimaging data collected by the Alzheimer's Disease ...
- articleJanuary 2009
Probabilistic models for shapes as continuous curves
Journal of Mathematical Imaging and Vision (JMIV), Volume 33, Issue 1Pages 39–65https://doi.org/10.1007/s10851-008-0104-3We develop new shape models by defining a standard shape from which we can explain shape deformation and variability. Currently, planar shapes are modelled using a function space, which is applied to data extracted from images. We regard a shape as a ...
- research-articleNovember 2007
Navigating in a Shape Space of Registered Models
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 13, Issue 6Pages 1552–1559https://doi.org/10.1109/TVCG.2007.70581New product development involves people with different backgrounds.Designers, engineers, and consumers all have different criteria, and these criteria interact.Early concepts evolve in this kind of collaborative context, and there is a need for dynamic ...
- research-articleAugust 2007
Efficient Shape Modeling: ⋮-Entropy, Adaptive Coding, and Boundary Curves -vs- Blum’s Medial Axis
International Journal of Computer Vision (IJCV), Volume 74, Issue 2Pages 183–199https://doi.org/10.1007/s11263-006-0010-3AbstractWe propose efficiency of representation as a criterion for evaluating shape models, then apply this criterion to compare the boundary curve representation with the medial axis. We estimate the ⋮-entropy of two compact classes of curves. We then ...
- ArticleJuly 2007
Geometric modeling in shape space
We present a novel framework to treat shapes in the setting of Riemannian geometry. Shapes -- triangular meshes or more generally straight line graphs in Euclidean space -- are treated as points in a shape space. We introduce useful Riemannian metrics ...
- articleJuly 2007
Geometric modeling in shape space
ACM Transactions on Graphics (TOG), Volume 26, Issue 3Pages 64–eshttps://doi.org/10.1145/1276377.1276457We present a novel framework to treat shapes in the setting of Riemannian geometry. Shapes -- triangular meshes or more generally straight line graphs in Euclidean space -- are treated as points in a shape space. We introduce useful Riemannian metrics ...
- research-articleNovember 2005
Affine-permutation invariance of 2-D shapes
IEEE Transactions on Image Processing (TIP), Volume 14, Issue 11Pages 1687–1700https://doi.org/10.1109/TIP.2005.857271Shapes provide a rich set of clues on the identity and topological properties of an object. In many imaging environments, however, the same object appears to have different shapes due to distortions such as translation, rotation, reflection, scaling, or ...
- ArticleOctober 2004
Shape based retrieval in NHANES II
MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on MultimediaPages 776–779https://doi.org/10.1145/1027527.1027709NHANES II is a nationally significant medical image database of spine x-ray images located at the National Library of Medicine. A key feature of spine disease in these images is the presence of osteoytes which are bony processes that alter the shape of ...
- articleSeptember 1999
Visual Recognition and Categorization on the Basis of Similarities to Multiple Class Prototypes
International Journal of Computer Vision (IJCV), Volume 33, Issue 3Pages 201–228https://doi.org/10.1023/A:1008102413960One of the difficulties of object recognition stems from the need to overcome the variability in object appearance caused by pose and other factors, such as illumination. The influence of these factors can be countered by learning to interpolate between ...
- ArticleJune 1995
FORMS: a flexible object recognition and modelling system
We briefly describe a generic statistical framework for representing the shapes of animate objects using principal component analysis and stochastic shape grammars. Such a representation scheme gives a formalism for solving the inverse problem-object ...
- articleJanuary 1993
Extended molecular evolutionary biology: Artificial life bridging the gap between chemistry and biology
Molecular evolution provides an ample field for the extension of Nature's principles towards novel applications. Several examples are discussed here, among them are evolution in the test tube, nucleotide chemistry with new base pairs and new backbones, ...