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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
Two-dimensional FFT algorithms on hypercube and mesh machines
G. Angelopoulos,Ioannis Pitas +1 more
TL;DR: This paper discusses the parallel computation of the 2-D discrete Fourier transform by using three different fast ourier transform algorithms: row-column FFT, vector radix FFT and polynomial transform FFT.
Proceedings ArticleDOI
Single camera pointing gesture recognition using spatial features and support vector machines
TL;DR: Experiments show very promising results for recognizing the pointing gestures by using a single camera using a GVF-snake to find the silhouette of the user.
Proceedings ArticleDOI
Single camera pointing gesture recognition for interaction in edutainment applications
TL;DR: Experiments show very promising results for recognizing the pointing gestures by using a single camera using a GVF-snake to detect the pointing hand of the user.
Proceedings ArticleDOI
3D image watermarking robust to geometric distortions
TL;DR: A novel blind method for 3D image watermarking robust against geometric distortions and lossy compression up to a certain compression ratio is proposed and experiments indicate the superiority of the proposed method.
Proceedings ArticleDOI
On Future Development of Autonomous Systems: A Report of the Plenary Panel at IEEE ICAS’21
Yingxu Wang,Ioannis Pitas,Konstantinos N. Plataniotis,Carlo S. Regazzoni,Brian M. Sadler,Amit K. Roy-Chowdhury,Ming Hou,Arash Mohammadi,Lucio Marcenaro,Farokh Atashzar,Saif alZahir +10 more
TL;DR: Autonomous Systems (AS) are perceived as the most advanced intelligent systems evolved from those of reflexive, imperative, and adaptive intelligence as mentioned in this paper, and they provide an unprecedented approach to contemporary intelligent industries including deep machine learning, highly intelligent robotics, cognitive computers, general AI technologies, and industrial applications enabled by transdisciplinary advances in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence and intelligent mathematics.