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» Intrinsic shape context descriptors for deformable shapes
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ICIP
2009
IEEE
13 years 5 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
CVPR
2008
IEEE
14 years 9 months ago
Fast texture segmentation model based on the shape operator and active contour
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson
ICIP
1999
IEEE
14 years 9 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
ICPR
2008
IEEE
14 years 2 months ago
Kernel functions for robust 3D surface registration with spectral embeddings
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...
CVPR
2007
IEEE
14 years 9 months ago
Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations
In this paper, we investigate the effect of substantial inter-image intensity changes and changes in modality on the performance of keypoint detection, description, and matching a...
Avi Kelman, Michal Sofka, Charles V. Stewart