Kinect for video conference

Like in any particular conversation, one can tell your interest and engagement via your facial expressions. In current video conferencing systems involving webcams embedded into your personal computers, effective communication is often hindered by the lack of the eye contact. While it is true that t...

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Main Author: Goh, Cynthia Zhiling
Other Authors: Cham Tat Jen
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/62546
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-62546
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spelling sg-ntu-dr.10356-625462023-03-03T20:28:46Z Kinect for video conference Goh, Cynthia Zhiling Cham Tat Jen School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Software::Software engineering Like in any particular conversation, one can tell your interest and engagement via your facial expressions. In current video conferencing systems involving webcams embedded into your personal computers, effective communication is often hindered by the lack of the eye contact. While it is true that this problem has been partially solved for high-end video conference systems using expensive equipment, for the everyday consumers, a cheap and viable solution is still not within our grasp. Many works out there have tried to solve the eye contact problem. However, they involve highly technical algorithms and the use of several external devices. My proposed method involves the use of a single Kinect device to help solve this problem. The approach I took towards this was basically a combination of Kinect SDKs, OpenGL and OpenCV. From the Kinect data streams, we will extract and draw out the point cloud using OpenGL. We will also apply tilting in according to correct the gaze of the user. This will portray the illusion that the user is making eye contact when he is video conferencing even if he is not. Bachelor of Engineering (Computer Science) 2015-04-15T06:24:36Z 2015-04-15T06:24:36Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62546 en Nanyang Technological University 20 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software::Software engineering
spellingShingle DRNTU::Engineering::Computer science and engineering::Software::Software engineering
Goh, Cynthia Zhiling
Kinect for video conference
description Like in any particular conversation, one can tell your interest and engagement via your facial expressions. In current video conferencing systems involving webcams embedded into your personal computers, effective communication is often hindered by the lack of the eye contact. While it is true that this problem has been partially solved for high-end video conference systems using expensive equipment, for the everyday consumers, a cheap and viable solution is still not within our grasp. Many works out there have tried to solve the eye contact problem. However, they involve highly technical algorithms and the use of several external devices. My proposed method involves the use of a single Kinect device to help solve this problem. The approach I took towards this was basically a combination of Kinect SDKs, OpenGL and OpenCV. From the Kinect data streams, we will extract and draw out the point cloud using OpenGL. We will also apply tilting in according to correct the gaze of the user. This will portray the illusion that the user is making eye contact when he is video conferencing even if he is not.
author2 Cham Tat Jen
author_facet Cham Tat Jen
Goh, Cynthia Zhiling
format Final Year Project
author Goh, Cynthia Zhiling
author_sort Goh, Cynthia Zhiling
title Kinect for video conference
title_short Kinect for video conference
title_full Kinect for video conference
title_fullStr Kinect for video conference
title_full_unstemmed Kinect for video conference
title_sort kinect for video conference
publishDate 2015
url http://hdl.handle.net/10356/62546
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