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Determining the Viability of the Kinect as a Research Tool

  • This project investigated the viability of using the Microsoft Kinect in order to obtain reliable Red-Green-Blue-Depth (RGBD) information. This explored the usability of the Kinect in a variety of environments as well as its ability to detect different classes of materials and objects. This was facilitated through the implementation of Random Sample and Consensus (RANSAC) based algorithms and highly parallelized workflows in order to provide time sensitive results. We found that the Kinect provides detailed and reliable information in a time sensitive manner. Furthermore, the project results recommend usability and operational parameters for the use of the Kinect as a scientific research tool.

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Metadaten
Document Type:Report
Language:English
Author:Matthew S. Roscoe, Paul G. Plöger, Kenneth B. Kent, Rainer Herpers
Parent Title (English):Technical Report / Faculty of Computer Science, University of New Brunswick
Volume:12-215
Number of pages:39
Contributing Corporation:Faculty of Computer Science, University of New Brunswick
Date of first publication:2012/01/23
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/11/11