Face authentication using graph-based low-rank representation of facial local structures for mobile vision applications

Abdel-Hakim, Alaa E.; El-Saban, Motaz

doi:10.1109/iccvw.2011.6130220

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…x − V x slices) of the images in figure 1. Now the difference becomes visible: We observe that for the printed photo, all epipolar lines in a plane have the same gradient (slope 1 ). This is absolutely predictable if we recall that the gradient of an epipolar line is proportional to the depth of its corresponding point.…”

Section: Detecting Flat Surfaces Using the Epi Informationmentioning

confidence: 99%

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Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos

Ghasemi

Vetterli

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We propose a novel approach for detecting printed photos from natural scenes using a light-field camera. Our approach exploits the extra information captured by a light-field camera and the multiple views of scene in order to infer a compact feature vector from the variance in the distribution of the depth of the scene. We then use this feature for robust detection of printed photos.Our algorithm can be used in person-based authentication applications to avoid intruding the system using a facial photo. Our experiments show that the energy of the gradients of points in the epipolar domain is highly discriminative and can be used to distinguish printed photos from original scenes.

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Section: Detecting Flat Surfaces Using the Epi Informationmentioning

confidence: 99%

“…Recently, in many modern digital devices such as smartphones or laptops, there is an authentication option to replace the password-based authentication with personal face detection-based authentication mechanisms [1]. However, most of such systems suffer from vulnerabilities to intrusion by using a printed photo of the authorized face.…”

Section: Introductionmentioning

confidence: 99%

Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos

Ghasemi

Vetterli

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…For example, airports may use facial recognition technology to identify passengers as they go through security, or companies may use facial recognition to verify employee identities for access to secure areas or sensitive information. Facial recognition technology continues to evolve and improve, with developers working to address the technical and ethical challenges associated with its use [41].…”

Section: User Identificationmentioning

confidence: 99%

Smart Fuzzy Petri Net-Based Temperature Control Framework for Reducing Building Energy Consumption

Deabes,

Bouazza,

Algthami

2023

Sensors

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This study addresses the pressing issue of energy consumption and efficiency in the Kingdom of Saudi Arabia (KSA), a region experiencing growing demand for energy resources. Temperature control plays a vital role in achieving energy efficiency; however, traditional control systems may struggle to adapt to the non-linear and time-varying characteristics of the problem. To tackle this challenge, a fuzzy petri net (FPN) controller is proposed as a more suitable solution that combines fuzzy logic (FL) and petri nets (PN) to model and simulate complex systems. The main objective of this research is to develop an intelligent energy-saving framework that integrates advanced methodologies and air conditioning (AC) systems to optimize energy utilization and create a comfortable indoor environment. The proposed system incorporates user identification to authorize individuals who can set the temperature, and FL combined with PN is utilized to monitor and transmit their preferred temperature settings to a PID controller for adjustment. The experimental findings demonstrate the effectiveness of integrating the FPN controller with a convertible frequency AC compressor in significantly reducing energy consumption by 94% compared to using the PN controller alone. The utilization of the PN controller alone resulted in a 25% reduction in energy consumption. Conversely, employing a fixed-frequency compressor led to a 40% increase in energy consumption. These results emphasize the advantages of integrating FL into the PN model, as it effectively reduces energy consumption by half, highlighting the potential of the proposed approach for enhancing energy efficiency in AC systems.

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“…The idea of token identification is based on the use of a small electronic device that identifies the person who wears it. Biometric data can be targeted specifically towards authentication, e.g., [44]; or identification, e.g., [45]. The advantage of this type of data is that it can not be intercepted or lost.…”

Section: User Identificationmentioning

confidence: 99%

Smart Petri Nets Temperature Control Framework for Reducing Building Energy Consumption

Bouazza

Deabes

2019

Sensors

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Energy consumption is steadily increasing in the Kingdom of Saudi Arabia (KSA), which imposes continuous strains on the electrical load. Furthermore, consumption rationalization measures do not seem to improve the situation in any way. Therefore, the implementation of energy saving policies become an urgent need. This paper targets developing a smart energy-saving framework for integrating new advanced technologies and conventional Air Conditioning (AC) systems to achieve a comfortable environment, optimum energy efficiency and profitability. In this paper, a three-stage smart control framework, which allows controlling room temperature according to the user’s preferences, is implemented. The first stage is a user identification process. In the second stage, a Petri Nets (PN) model monitors users and sends their preferred temperatures to the third stage. A PID controller is implemented in the third stage to regulate room temperatures. The interconnected sensing and actuating devices in this smart environment are configured to provide users with comfort and energy saving functionality. Experimental results show the good performances and features of the proposed approach. The proposed smart framework reduces the energy consumption of the current ON/OFF controller ( 219.09 kW) by a significant amount which reaches ( 116.58 kW) by ratio about 46.79 % . Reducing energy consumption is one of these important features in addition to system reactivity and user comfort.

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Face authentication using graph-based low-rank representation of facial local structures for mobile vision applications

Cited by 6 publications

References 9 publications

Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos

Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos

Smart Fuzzy Petri Net-Based Temperature Control Framework for Reducing Building Energy Consumption

Smart Petri Nets Temperature Control Framework for Reducing Building Energy Consumption

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