An algorithm for object identification based on hyperplane separation but tolerant to illumination and viewing angle variations

2015 ◽  
Vol 70 (6) ◽  
pp. 479-483
Author(s):  
A. V. Zubyuk ◽  
A. B. Fedotov
Keyword(s):  
Object Identification ◽  
Viewing Angle ◽  
Hyperplane Separation

How Socially Relevant Visual Characteristics of Avatars Influence Impression Formation

2010 ◽  
Vol 22 (1) ◽  
pp. 37-43 ◽  
Author(s):  
David Weibel ◽  
Daniel Stricker ◽  
Bartholomäus Wissmath ◽  
Fred W. Mast
Keyword(s):  
Impression Formation ◽  
Pupil Size ◽  
Conscious Perception ◽  
Viewing Angle ◽  
Frontal View ◽  
Computer Mediated ◽  
First Impression ◽  
Visual Characteristics ◽  
Socially Relevant ◽  
Blink Frequency

Like in the real world, the first impression a person leaves in a computer-mediated environment depends on his or her online appearance. The present study manipulates an avatar’s pupil size, eyeblink frequency, and the viewing angle to investigate whether nonverbal visual characteristics are responsible for the impression made. We assessed how participants (N = 56) evaluate these avatars in terms of different attributes. The findings show that avatars with large pupils and slow eye blink frequency are perceived as more sociable and more attractive. Compared to avatars seen in full frontal view or from above, avatars seen from below were rated as most sociable, self-confident, and attractive. Moreover, avatars’ pupil size and eyeblink frequency escape the viewer’s conscious perception but still influence how people evaluate them. The findings have wide-ranging applied implications for avatar design.

Editorial

2017 ◽  
Author(s):  
Vu Chi Kien ◽  
Do Ngoc Minh ◽  
Nguyen Hoang Ha ◽  
Nguyen Linh Trung
Keyword(s):  
Good Practice ◽  
Scientific Publication ◽  
Associate Editor ◽  
Open Access Journal ◽  
Object Identification ◽  
Online Journal ◽  
International Visibility ◽  
National University ◽  
Standard Practices

Dear readers,The year 2017 marks the 55th anniversary of the Journal of Information & Communications of the Ministry of Information and Communications, and the 18th anniversary of its scientific publication – the Research and Development on Information and Communication Technology (RD-ICT) journal. Again, the purpose of RD-ICT is to provide a forum for researchers and professionals to disseminate original and innovative ideas in the fields of information technology, communications and electronics in Vietnam and worldwide.Without kind support and invaluable contribution of readers and authors, and hard work of the anonymous reviewers and editors under the former editorship of Prof. Nguyễn Thúc Hải, Prof. Trần Văn Lộc and Prof. Nguyễn Cảnh Tuấn, RD-ICT would not be what it is today – a total of 37 issues in Vietnamese and 14 issues in English.To contribute to the development of research in Vietnam, toward standard practices, high quality and international visibility, RD-ICT has been taking measures by following current practices of prestigious international research journals. In this editorial, we would like to inform you some of the things we have been doing lately.Since June 2014, RD-ICT has applied online journal management and publishing, thanks to the well-known open-source Open Journal System of the Public Knowledge Project, which is used by thousands of online scientific journals worldwide. The editorial board of RD-ICT is currently being extended to include international prominent scientists, thus forming a team of international associate editors, under the complementary technical editorship of Prof. Đỗ Ngọc Minh (University of Illinois at Urbana-Champaign, United States), Prof. Nguyễn Hoàng Hà (University of Saskatchewan, Canada) and Prof. Nguyễn Linh Trung (Vietnam National University, Hanoi). Each submission is now assigned to an associate editor who then coordinates the review process and makes editorial decision.For improved paper quality in terms of organization and presentation, authors are guided to good practice of technical paper writing. In addition, accepted submissions are now copy-edited, by the corresponding associate editors, and laid out using LATEX.Apart from already being an open-access journal, RD-ICT is also looking into other measures to increase its visibility, such as all-English publishing, digital object identification, Google Scholar citation, and SCOPUS indexing.Taking the opportunity of informing the above changes, we would like to, again, express our sincere gratitude and appreciation to the readers, authors, reviewers and editors of RD-ICT, and to the leadership of the Ministry of Information and Communications and its predecessors – the Directorate General of Posts and Telecommunications, the Ministry of Post and Telecommunications – for their continued support and contribution to RD-ICT.We look forward to your comments and feedback for better developing the RD-ICT journal for Vietnam.Sincerely,Vũ Chí Kiên, Editor-in-ChiefĐỗ Ngọc Minh, Nguyễn Hoàng Hà, Nguyễn Linh Trung, Technical Editors-in-Chief

ON METHODS OF OBJECT DETECTION IN VIDEO STREAMS

2017 ◽  
Vol 2 (1) ◽  
pp. 80-87
Author(s):  
Puyda V. ◽  
◽  
Stoian. A.
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Open Source ◽  
Feature Detection ◽  
Video Stream ◽  
Object Identification ◽  
Vision Systems ◽  
Modern Computer ◽  
Computer Vision Systems ◽  
Open Source Hardware

Detecting objects in a video stream is a typical problem in modern computer vision systems that are used in multiple areas. Object detection can be done on both static images and on frames of a video stream. Essentially, object detection means finding color and intensity non-uniformities which can be treated as physical objects. Beside that, the operations of finding coordinates, size and other characteristics of these non-uniformities that can be used to solve other computer vision related problems like object identification can be executed. In this paper, we study three algorithms which can be used to detect objects of different nature and are based on different approaches: detection of color non-uniformities, frame difference and feature detection. As the input data, we use a video stream which is obtained from a video camera or from an mp4 video file. Simulations and testing of the algoritms were done on a universal computer based on an open-source hardware, built on the Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC processor with frequency 1,5GHz. The software was created in Visual Studio 2019 using OpenCV 4 on Windows 10 and on a universal computer operated under Linux (Raspbian Buster OS) for an open-source hardware. In the paper, the methods under consideration are compared. The results of the paper can be used in research and development of modern computer vision systems used for different purposes. Keywords: object detection, feature points, keypoints, ORB detector, computer vision, motion detection, HSV model color

HYGIENIC MODELING FOR THE EXAMINATION OF BUILDINGS AND EQUIPMENT OF EDUCATIONAL INSTITUTIONS DURING THE COMMISSION STAGE

2018 ◽  
pp. 27-30 ◽  
Author(s):  
V.R. Kuchma ◽  
M.I. Stеpanova ◽  
T.V. Shumkova ◽  
I.E. Aleksandrova
Keyword(s):  
Educational Institution ◽  
Well Being ◽  
Optimal Level ◽  
Optimal Placement ◽  
Educational Institutions ◽  
Viewing Angle ◽  
Optimal Conditions ◽  
Educational Facilities ◽  
Learning Conditions ◽  
Children Education

For the purpose of the development of novel approaches during the commission stage, the hygienic assessment of conditions of training in specially constructed innovative building of SKOLKOVO International Gymnasium was performed. Hygienic examination of innovative architectural and planning solutions, learning conditions and hygienic modeling of the optimal placement of furniture and equipment in multi-faceted educational facilities with panoramic glazing made it possible to predict the provision of the gymnasium with an optimal level of sanitary and epidemiological well-being of students. This is achieved by the innovative layout of the gymnasium building and its territory. Hygienic specification of zoning of both buildings and premises of the educational institution, include the requirements to satisfy the hygienic criteria on children education, motor activity, organization of proper nutrition, and using the building as a center for family leisure. Hygienic modeling of educational furniture and equipment provides optimal conditions (viewing angle) for visual work of students in all multifaceted classes. The obtained data are the basis for amendments to the state sanitary and epidemiological rules and regulations in the field of organization of education and upbringing of children.

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