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Authorized Personnel

The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform

N. Murtuza – 1st expert on this subject based on the ideXlab platform

  • Multimodal face recognition: combination of geometry with physiological information
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
    Co-Authors: I.a. Kakadiaris, G. Passalis, T. Theoharis, G. Toderici, I. Konstantinidis, N. Murtuza

    Abstract:

    It is becoming increasingly important to be able to credential and identify Authorized Personnel at key points of entry. Such identity management systems commonly employ biometric identifiers. In this paper, we present a novel multimodal facial recognition approach that employs data from both visible spectrum and thermal infrared sensors. Data from multiple cameras is used to construct a three-dimensional mesh representing the face and a facial thermal texture map. An annotated face model with explicit two-dimensional parameterization (UV) is then fitted to this data to construct: 1) a three-channel UV deformation image encoding geometry, and 2) a one-channel UV vasculature image encoding facial vasculature. Recognition is accomplished by comparing: 1) the parametric deformation images, 2) the parametric vasculature images, and 3) the visible spectrum texture maps. The novelty of our work lies in the use of deformation images and physiological information as means for comparison. We have performed extensive tests on the Face Recognition Grand Challenge v1.0 dataset and on our own multimodal database with very encouraging results.

  • CVPR (2) – Multimodal face recognition: combination of geometry with physiological information
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
    Co-Authors: I.a. Kakadiaris, G. Passalis, T. Theoharis, G. Toderici, I. Konstantinidis, N. Murtuza

    Abstract:

    It is becoming increasingly important to be able to credential and identify Authorized Personnel at key points of entry. Such identity management systems commonly employ biometric identifiers. In this paper, we present a novel multimodal facial recognition approach that employs data from both visible spectrum and thermal infrared sensors. Data from multiple cameras is used to construct a three-dimensional mesh representing the face and a facial thermal texture map. An annotated face model with explicit two-dimensional parameterization (UV) is then fitted to this data to construct: 1) a three-channel UV deformation image encoding geometry, and 2) a one-channel UV vasculature image encoding facial vasculature. Recognition is accomplished by comparing: 1) the parametric deformation images, 2) the parametric vasculature images, and 3) the visible spectrum texture maps. The novelty of our work lies in the use of deformation images and physiological information as means for comparison. We have performed extensive tests on the Face Recognition Grand Challenge v1.0 dataset and on our own multimodal database with very encouraging results.

Wen Fei Wu – 2nd expert on this subject based on the ideXlab platform

  • Research on Wireless Location Technology of Nuclear Power Plant and Discussion for Physical Protection System Application
    Lecture Notes in Electrical Engineering, 2017
    Co-Authors: Lin Ye, Hua Ping Chen, Shuang Li, Wen Fei Wu

    Abstract:

    Several kinds of indoor wireless location technology are introduced in this paper, such as the Radio Frequency Identification (RFID), Bluetooth, Light Emitting Diode (LED) visible light location, and Ultra Wideband (UWB), which are analyzed and compared. Moreover, the paper also discusses the nuclear facilities physical protection system application of wireless location technology in nuclear power plant by means of collecting the location information of the internal Authorized Personnel to analyze the internal Authorized Personnel’s behavior furthermore for the analysis of the internal threats with the data. And by using the wireless localization technologies it is expected to manage and control the nuclear materials in the real-time and achieve nuclear materials specified in the security area to prevent nuclear materials from being stolen or illegal transfer.

  • Research on wireless location technology of nuclear power plant and discussion for physical protection system application
    Lecture Notes in Electrical Engineering, 2017
    Co-Authors: Lin Ye, Hua Ping Chen, Shuang Li, Wen Fei Wu

    Abstract:

    © Springer Nature Singapore Pte Ltd. 2017. Several kinds of indoor wireless location technology are introduced in this paper, such as the Radio Frequency Identification (RFID), Bluetooth, Light Emitting Diode (LED) visible light location, and Ultra Wideband (UWB), which are analyzed and compared. Moreover, the paper also discusses the nuclear facilities physical protection system application of wireless location technology in nuclear power plant by means of collecting the location information of the internal Authorized Personnel to analyze the internal Authorized Personnel’s behavior furthermore for the analysis of the internal threats with the data. And by using the wireless localization technologies it is expected to manage and control the nuclear materials in the real-time and achieve nuclear materials specified in the security area to prevent nuclear materials from being stolen or illegal transfer.

Sanja Vrane – 3rd expert on this subject based on the ideXlab platform

  • DEXA Workshops – Smart Indoor Positioning System for Situation Awareness in Emergency Situations
    2015 26th International Workshop on Database and Expert Systems Applications (DEXA), 2015
    Co-Authors: Lazar Berbakov, Bogdan Pavkovic, Sanja Vrane

    Abstract:

    In this paper, we propose an indoor positioning system for situation awareness in emergency situations. We consider a system that uses inertial sensors to provide positioning information in environments without GNSS coverage. We present the overall system architecture with the special emphasis on a smartphone application for indoor positioning and a mapping web portal where Authorized Personnel is given access to the positioning data.

  • Smart Indoor Positioning System for Situation Awareness in Emergency Situations
    2015 26th International Workshop on Database and Expert Systems Applications (DEXA), 2015
    Co-Authors: Lazar Berbakov, Bogdan Pavkovic, Sanja Vrane

    Abstract:

    In this paper, we propose an indoor positioning system for situation awareness in emergency situations. We consider a system that uses inertial sensors to provide positioning information in environments without GNSS coverage. We present the overall system architecture with the special emphasis on a smartphone application for indoor positioning and a mapping web portal where Authorized Personnel is given access to the positioning data.