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Ioannis Pitas
Researcher at Aristotle University of Thessaloniki
Publications - 826
Citations - 26338
Ioannis Pitas is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Facial recognition system & Digital watermarking. The author has an hindex of 76, co-authored 795 publications receiving 24787 citations. Previous affiliations of Ioannis Pitas include University of Bristol & University of York.
Papers
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Proceedings ArticleDOI
Video shot segmentation using singular value decomposition
TL;DR: A new method for detecting shot boundaries in video sequences using singular value decomposition (SVD) to derive a low dimensional refined feature space from a high dimensional raw feature space, where pattern similarity can be detected.
Journal ArticleDOI
Nonlinear processing and analysis of angular signals
Nikos Nikolaidis,Ioannis Pitas +1 more
TL;DR: This work introduces filters for angular signals, and introduces three variations for the extension of quasirange to circular data, which have good and user-controlled properties as edge detectors in noisy angular signals.
Journal ArticleDOI
Morphological iterative closest point algorithm
TL;DR: This work presents a method for the registration of three-dimensional (3-D) shapes based on the iterative closest point (ICP) algorithm and improves it through the use of a 3-D volume containing the shapes to be registered.
Journal ArticleDOI
Binary morphological shape-based interpolation applied to 3-D tooth reconstruction
TL;DR: An interpolation algorithm using a mathematical morphology morphing approach to reconstruct the n-dimensional object from a group of (n-1)-dimensional sets representing sections of that object, and proves the convergence of the morphological morphing.
Journal ArticleDOI
A generalized fuzzy mathematical morphology and its application in robust 2-D and 3-D object representation
Vassilios Chatzis,Ioannis Pitas +1 more
TL;DR: The generalized fuzzy mathematical morphology (GFMM) is proposed, based on a novel definition of the fuzzy inclusion indicator (FII), and it is proven that the FII obeys a set of axioms, which are proposed to be extensions of the knownAxioms that any inclusion indicator should obey.