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M. G. Frank

dblp:30/3074 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Information extraction and text analysis · 72% Face, body and person analysis · 28%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%
Network and information security
1 paper
Biometric security · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › affective computing
deception detection
0.112007
Imaging Facial Physiology for the Detection of Deceit · Int. J. Comput. Vis. 2007
Natural language and speech › Information extraction and text analysis › text classification
deception detection
0.112005
Automatic Thermal Monitoring System (ATHEMOS) for Deception Detection · CVPR (2) 2005
Biometric security
physiological biometrics
0.012005
Automatic Thermal Monitoring System (ATHEMOS) for Deception Detection · CVPR (2) 2005

Methods — techniques the papers use, named apart from their topics

thermal imaging · 0.3facial physiology analysis · 0.1kanade-lucas-tomasi tracking · 0.1classification · 0.1
YearPublicationVenuePosition
2007 Imaging Facial Physiology for the Detection of Deceit
Panagiotis Tsiamyrtzis, Jonathan Dowdall, Dvijesh J. Shastri, Ioannis Pavlidis, M. G. Frank, P. Ekman
Int. J. Comput. Vis.5
2005 Automatic Thermal Monitoring System (ATHEMOS) for Deception Detection
abstract
An artificial vision system is presented for lie detection by analyzing face thermal image sequences.This system represents an alternative technique to the polygraph.Some of its features are: 1) it has no physical contact with the examinee, 2) it is non-intrusive, 3) it has a potential for private use, and 4) it can simultaneously analyze several persons.The proposed system is based on the detection of physiological changes in temperature in the lacrimal puncta area caused by the subtle increase in blood flow through the nearby vascular network.These changes take place when anxiety appears as a consequence of deception.Thus, the system segments the periorbital area, and tracks consecutive frames using the Kanade-Lucas-Tomasi algorithm.The results show a success rate of 79.2 % in detecting lies using a simple classification based on the comparison between the estimated temperatures in control questions, and the rest of the interrogation procedure.The performance of this system is comparable with previous works, where cameras with better specifications were used.
Pradeep Buddharaju, Jonathan Dowdall, Panagiotis Tsiamyrtzis, Dvijesh J. Shastri, Ioannis Pavlidis, M. G. Frank
CVPR (2)6