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This thesis aims to understand visual style in the context of computer science, using traditionally intangible artistic properties to enhance existing content manipulation algorithms and develop new content creation methods. The developed algorithms can be used to apply extracted properties to other drawings automatically; transfer a selected style; categorise images based upon perceived style; build 3D models using style features from concept artwork; and other style-based actions that change our perception of an object without changing our ability to recognise it. The research in this thesis aims to provide the style manipulation abilities that are missing from modern digital art creation pipelines.

No description available.

No description available.

Automatic recognition and digitization of the features found in raster images of 2D topographic maps has a long research history. Very little such work has focused on creating and working with alternatives to the classic isoline-based topographic map.This thesis presents a system that generates 3D scenes from a 2D diagram format designed for user friendliness; with more geometric expressiveness and lower ink usage than classic topographic maps. This thesis explains the rationale for and the structure of the system, and the difficulties encountered in constructing it. It then describes a user study to evaluate the language and the usability of its various features, and draws future research directions from it.

Automatic recognition and digitization of the features found in raster images of 2D topographic maps has a long research history. Very little such work has focused on creating and working with alternatives to the classic isoline-based topographic map.This thesis presents a system that generates 3D scenes from a 2D diagram format designed for user friendliness; with more geometric expressiveness and lower ink usage than classic topographic maps. This thesis explains the rationale for and the structure of the system, and the difficulties encountered in constructing it. It then describes a user study to evaluate the language and the usability of its various features, and draws future research directions from it.

Yes / Solar images, along with other observational data, are very important for solar physicists and space weather researchers aiming to understand the way the Sun works and affects Earth. In this study a 3D modelling technique for visualizing solar magnetic field lines using solar images is presented. Photospheric magnetic field footpoints are detected from magnetogram images and using negative and positive magnetic footpoints, dipole pairs are associated according to their proximity. Then, 3D field line models are built using the calculated dipole coordinates, and mapped to detected pairs after coordinate transformations. Final 3D models are compared to extreme ultraviolet images and existing models and the results of visual comparisons are presented.

The primary aim of this dissertation is to map the geology of the East Rand Basin accurately by creating a 3D model. This was done by using borehole data from the National Groundwater Archive Geodatabase, which the Department of Water and Sanitation collected, and the average depths derived from the literature. Triangulated irregular networks (TINs) and digital elevation models (DEMs) surfaces were created from these data points to determine the depths for areas with no borehole data. Using these surfaces, three methods were used to create three main models. These models were then compared to one another, other geological maps and cross-sections to determine the most accurate and practical model of the three. It was found that the quality and quantity of the data from the National Groundwater Archive Geodatabase were not sufficient for these models; therefore, the results and accuracy of each layer was questionable. This dissertation found that these methods can be used for basic geological studies if the data are of the same quality and quantity. However, if the data are more evenly distributed and higher in quantity, these methods can be used to create more accurate models. Furthermore, the use of commercial software was recommended in this study. The reason for recommending these tools is that they have been specifically designed to create geological layers from boreholes within the ArcGIS software. These tools also allow the user to create cross-sections within ArcGIS. / MSc (Geography and Environmental Management), North-West University, Potchefstroom Campus, 2015

The primary aim of this dissertation is to map the geology of the East Rand Basin accurately by creating a 3D model. This was done by using borehole data from the National Groundwater Archive Geodatabase, which the Department of Water and Sanitation collected, and the average depths derived from the literature. Triangulated irregular networks (TINs) and digital elevation models (DEMs) surfaces were created from these data points to determine the depths for areas with no borehole data. Using these surfaces, three methods were used to create three main models. These models were then compared to one another, other geological maps and cross-sections to determine the most accurate and practical model of the three. It was found that the quality and quantity of the data from the National Groundwater Archive Geodatabase were not sufficient for these models; therefore, the results and accuracy of each layer was questionable. This dissertation found that these methods can be used for basic geological studies if the data are of the same quality and quantity. However, if the data are more evenly distributed and higher in quantity, these methods can be used to create more accurate models. Furthermore, the use of commercial software was recommended in this study. The reason for recommending these tools is that they have been specifically designed to create geological layers from boreholes within the ArcGIS software. These tools also allow the user to create cross-sections within ArcGIS. / MSc (Geography and Environmental Management), North-West University, Potchefstroom Campus, 2015