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Panagiotis Tsiamyrtzis

Researcher at Athens University of Economics and Business

Publications -  78
Citations -  2152

Panagiotis Tsiamyrtzis is an academic researcher from Athens University of Economics and Business. The author has contributed to research in topics: Bayesian probability & Computer science. The author has an hindex of 22, co-authored 68 publications receiving 1904 citations. Previous affiliations of Panagiotis Tsiamyrtzis include Polytechnic University of Milan & University of Minnesota.

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Journal ArticleDOI

Physiology-Based Face Recognition in the Thermal Infrared Spectrum

TL;DR: The proposed methodology to capture facial physiological patterns using the bioheat information contained in thermal imagery has merit and demonstrates the feasibility of the physiological framework in face recognition and open the way for further methodological and experimental research in the area.
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Urban surveillance systems: from the laboratory to the commercial world

TL;DR: This paper describes a state-of-the-art monitoring system developed by a corporate R&D lab in cooperation with the corresponding security business units, representing a sizable effort to transfer some of the best results produced by computer vision research into a viable commercial product.
Journal ArticleDOI

Imaging Facial Physiology for the Detection of Deceit

TL;DR: A new methodology to compute the mean periorbital temperature signal is proposed and is capable of coping with the challenges posed by the realistic setting and opens the way for automating lie detection in realistic settings.
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Imaging Facial Signs of Neurophysiological Responses

TL;DR: An integrated framework for detecting peripheral sympathetic responses through purely imaging means is introduced and the first time that the maxillary area is analyzed, which opens a new research area that leads to unobtrusive screening technologies in neurophysiology and psychophysiology.
Proceedings ArticleDOI

Touchless monitoring of breathing function

TL;DR: A novel method based on statistical modeling of dynamic thermal data captured through an infrared imaging system for noncontact measurement of breathing function that is expected to find applications in the next generation of touchless polygraphy and in preventive health care.