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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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Journal ArticleDOI
Nonlinear adaptive filters for speckle suppression in ultrasonic images
Eleftherios Kofidis,Sergios Theodoridis,Sergios Theodoridis,Constantine Kotropoulos,Ioannis Pitas +4 more
TL;DR: Simulation results from both simulated and real B-mode ultrasonic images are presented, which verify the (qualitative and quantitative) superiority of the technique over a number of commonly used speckle filters.
Journal ArticleDOI
Graph Embedded One-Class Classifiers for media data classification
TL;DR: It is proved that the regularized solutions for both One-Class Support Vector Machine and Support Vector Data Description are equivalent to applying the original methods in a transformed (and shared) feature space.
Journal ArticleDOI
Interpolation of 3-D binary images based on morphological skeletonization
Vassilios Chatzis,Ioannis Pitas +1 more
TL;DR: The morphological skeleton interpolation (MSI) algorithm is presented, an efficient, shape-based interpolation method used for interpolating slices in a three-dimensional (3-D) binary object.
Proceedings ArticleDOI
Real time facial expression recognition from image sequences using support vector machines
Irene Kotsia,Ioannis Pitas +1 more
TL;DR: Two novel real-time methods are proposed for facial expression recognition in image sequences using the Candide grid and a bank of support vector machine (SVM) classifiers to recognize either the six basic facial expressions or eight chosen FAUs.
Proceedings ArticleDOI
Robust spatial image watermarking using progressive detection
Anastasios Tefas,Ioannis Pitas +1 more
TL;DR: A novel method for image watermarking robust to geometric distortions is proposed, which enables fast and robust watermark detection even after several geometric distortions of the watermarked image.