Works (2)
Updated: July 5th, 2023 15:55
2007 journal article
Flexible skew-symmetric shape model for shape representation, classification, and sampling
IEEE TRANSACTIONS ON IMAGE PROCESSING, 16(2), 317–328.
author keywords: flexible skew-symmetric distributions (FSSM); principal curves; sampling; shape classification; shape modeling; template learning
MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Information Storage and Retrieval / methods; Models, Statistical; Pattern Recognition, Automated / methods; Reproducibility of Results; Sensitivity and Specificity
TL;DR:
A novel statistical method for shape modeling, which is sufficiently flexible to accommodate a departure from Gaussianity of the data and is fairly general to learn a "mean shape" (template), with a potential for classification and random generation of new realizations of a given shape.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2004 chapter
Shape representation with flexible skew-symmetric distributions
In Skew-elliptical distibutions and their applications: A journey beyond normality.
Source: NC State University Libraries
Added: August 6, 2018
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