2017
DOI: 10.1515/phys-2017-0128
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Detection of vertical disparity in three-dimensional visualizations

Abstract: This paper identi es the major types of artifacts occurring in three-dimensional materials. It focuses on the analysis of vertical disparity. The vertical disparity is the artifact of the 3D images that appears both in the lm material and in the computer visualizations. The research explains the causes and consequences of the vertical disparity occurrence and presents the stable algorithm of detecting mentioned anomaly. The implementation of the developed method constitutes a complete solution enabling veri ca… Show more

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Cited by 10 publications
(1 citation statement)
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“…The strength of the signal depends on the following parameters: power of the source, antennas' characteristics, distance from the source of the signal, magnetic permeability, permittivity and refraction according to Kong et al (2011) [5]. Very accurate modelling of magnetic field is very difficult and time consuming, see Napieralski et al (2015) [6]. Furthermore, it requires accurate values of the abovementioned parameters for all the materials which are used in the building construction (Motley and Keenan 1990) [7] as well as objects and humans which is usually difficult to achieve, see Siauve et al (2003) [8], López et al (2015) [9], Glonek G. et al [10].…”
Section: Introductionmentioning
confidence: 99%
“…The strength of the signal depends on the following parameters: power of the source, antennas' characteristics, distance from the source of the signal, magnetic permeability, permittivity and refraction according to Kong et al (2011) [5]. Very accurate modelling of magnetic field is very difficult and time consuming, see Napieralski et al (2015) [6]. Furthermore, it requires accurate values of the abovementioned parameters for all the materials which are used in the building construction (Motley and Keenan 1990) [7] as well as objects and humans which is usually difficult to achieve, see Siauve et al (2003) [8], López et al (2015) [9], Glonek G. et al [10].…”
Section: Introductionmentioning
confidence: 99%