PhysQSR: Improving Reasoning in Three Dimensions and Time with Image Processing and Physics
Qualitative Spatial Reasoning (QSR) is an exceptionally powerful tool in the fields of computer cognition and automated computer reasoning. Recent results have shown the potential feasibility of pairing image processing techniques with basic principles of physics that humans inherently understand in order to allow the computer to extrapolate additional information about the environment in which it exists. Initial results showed that, while using the tenets of conservation of mass, conservation of energy, and inertia allowed the computer to gain more information than was initially apparent, noise in the perceived input data resulted in the software erroneously reasoning about the state of the system. Hence improving the image processing techniques used in analyzing the data should ameliorate the errors in reasoning. In this paper, the authors investigate this claim, and present a system that allows a more precise and correct computational view of the environment.
N. W. Eloe and J. Leopold, "PhysQSR: Improving Reasoning in Three Dimensions and Time with Image Processing and Physics," Proceedings of the 21st International Conference on Distributed Multimedia Systems (2015, Vancouver, Canada), Knowledge Systems Institute Graduate School, Aug 2015.
21st International Conference on Distributed Multimedia Systems, DMS 2015 (2015: Aug. 31-Sep. 2, Vancouver, Canada)
Keywords and Phrases
Image segmentation; Multimedia systems; Basic principles; Conservation of energy; Conservation of mass; Image processing technique; Input datas; Object segmentation; Qualitative spatial reasoning; Three dimensions; Image processing
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2015 Knowledge Systems Institute Graduate School, All rights reserved.
01 Aug 2015