학술논문

Point Cloud Generation of Transparent Objects: A Comparison between Technologies
Document Type
Conference
Source
2023 IEEE Global Engineering Education Conference (EDUCON) Engineering Education Conference (EDUCON), 2023 IEEE Global. :1-3 May, 2023
Subject
Bioengineering
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Point cloud compression
Video games
Computer vision
Machine vision
Catalysts
Glass
Stereo vision
Vision Systems
Transparent Objects
Computer Vision
Innovative Education
Superior Education
Language
ISSN
2165-9567
Abstract
This paper proposes an approach to attract students to the study of Vision Systems to detect transparent materials, such as glass or plastic, through the comparison of videogame technologies, e.g. the Kinect Sensor, and more complex systems, such as Stereo Vision. Although the field of computer vision has advanced enormously in recent years, there are still problems when it comes to viewing transparent materials. Technologies such as the Kinect Sensor have been widely implemented in research before, but they lack the capabilities to detect transparent materials as well. A good alternative is the use of Stereo Cameras that can triangulate points from pictures with two perspectives. However, given that the Kinect is used in videogames and for hobbies, it represents a great area of opportunity to attract its intended public into research activities, as it could act as a catalyst to foster curiosity, mainly undergraduate students, into how technology intended for videogames can be applied for something as important as Computer Vision.