Journal of Software Engineering & Intelligent Systems

ISSN: 2518-8739 (Online)
December 2021 | VOLUME. 6  ISSUE. 3
Title:

3D HUMAN FACE MODELLING FROM STEREO IMAGES USING AUTOMATIC LANDMARK DETECTION

Authors:

Muhammad Sajid Khan, Andrew Ware, Nimra Ibrar

Abstract:

3D human face modelling has numerous applications in human-computer interaction, computer vision and security surveillance. However, due to issues caused by variations in illumination conditions and image size, coupled with the extensive and complex training datasets required, landmark localization and image synthesis in 3D is limited in real-time. This paper extends, through the automation of a manual process, a methodology that uses the Frankot-Chellappa algorithm for the 3D modelling of the human face. The enhanced method involves detecting a face within an image before landmark points including the eyebrows, eyes and area around the lips are labelled using face part localization and edge point detection. These landmark points enable the eye’s iris to be detected and a 3D representation of the face to be generated. In contrast with previous strategies, the methodology presented here produces a more accurate 3D model and is computationally quicker.

Keywords: photometric stereo; 3D face reconstruction; light variation; 3D surfaces; 3D modelling;
Available: 3D HUMAN FACE MODELLING FROM STEREO IMAGES USING AUTOMATIC LANDMARK DETECTION by Muhammad Sajid Khan, Andrew Ware, Nimra Ibrar will be available under cc by-nc 4.0 License on 30th December 2021. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

TOWARDS BETTER UNDERSTANDING OF SOFTWARE CHANGE

Authors:

Mohamed Saied, Ahmed Elfatatry, Shawkat Guirguis

Abstract:

Ever since the invention of software, change has been a destabilizing factor. Managing change is a challenging task in today’s complex software engineering. Understanding the diversity of change and the relationship to current technologies is essential for dealing with volatile business systems. This paper proposes an analytical framework for software change. The framework is based on six main research questions regarding the source, the essence, and the consequences of software change. The aim is to provide a deeper understanding of software change for software engineering researchers and practitioners.

Keywords: software evolution; software change; change management; change propagation; change impact; change anticipation;
Available: TOWARDS BETTER UNDERSTANDING OF SOFTWARE CHANGE by Mohamed Saied, Ahmed Elfatatry, Shawkat Guirguis will be available under cc by-nc 4.0 License on 30th December 2021. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

RADIO FREQUENCY IDENTIFICATION AND POSITIONING MODEL BASED ON THE KALMAN FILTER AND HERON BILATERATION

Authors:

Abessolo Alo'o Ghislain, Poum Bimbar Paul Ghislain

Abstract:

With the ever-increasing development of emerging technologies in the field of ubiquitous computing, there is growing interest in identification and positioning systems that can operate both outside and inside a reference environment. Many researchers have proposed solutions for the implementation of identification and positioning systems based on different technologies. The major difficulty encountered by these researchers is related to the influence and/or drift of signal strengths that cause data reading errors. This results in the creation of false random displacements around the estimated position of the object to be identified. The recurring question is: How to reduce the drift of the radio signal and accurately estimate the location of an object to be identified? To date, this question is still open in science. In this paper, we propose a radio frequency identification and positioning model based on the KALMAN filter and the HERON bilateration. The proposed model allows to delete the drift of the radio signal and to have a better estimation of the location of the object to be identified; This implies the reduction, in a significant way, of the loss of the received signal strength index, of the identification and positioning error, of the computational complexity without sacrificing the granularity and the accuracy of the readout of the identified objects.

Keywords: ubiquitous computing; RFID technology; KALMAN filter; HERON bilateration; identification system; positioning system;
Available: RADIO FREQUENCY IDENTIFICATION AND POSITIONING MODEL BASED ON THE KALMAN FILTER AND HERON BILATERATION by Abessolo Alo'o Ghislain, Poum Bimbar Paul Ghislain will be available under cc by-nc 4.0 License on 30th December 2021. Permissions beyond the scope of this license may be available at JSEIS.
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