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TopContributors of the 16th iV Conference explored theoretical and technological approaches to data, information, and knowledge visualization. Inquiry about theoretical thinking encompassed studies on knowledge visualization and visual thinking, art and design visualization, co-operative design visualization, coordinated & multiple views in exploratory visualization, visual social media analytics, open source intelligence and web mining, augmented reality visualization and art, applications of graph theory, computer games and their applications (cga), geometric modeling & imaging, and digital heritage knowledge visualization. Sessions related to techniques applied in the visualization domain included applications, usability and evaluation, advances in interactive and visual data clustering, data mining and analytics, visualization in built & rural environments, biomedical visualization and informatics, among other issues.
Figure 1 shows one of the works presented at D-ART Gallery. “Geek-O“ is a study of symmetry in natural world, in this case in living organisms such as plants or animals, depicted in terms of symmetric geometrical patterns showing both bilateral and radial symmetry.
Figure 1. Cody Gallagher, Geek-O. (© 2012, C. Gallagher. Used with permission)
Themes under theoretical considerations included an essay “Augmented reality technology and art: the analysis and visualization of evolving conceptual models” by Vladimir Geroimenko. The essay provides a conceptual analysis of major types of augmented reality (AR) and the resulting conceptual model applied to the emerging field of Augmented Reality Art. The author articulates a general definition of AR as artwork exhibited in a real-world environment using AR technology, which is without spatial or temporal limits and can easily be made animated and interactive. According to the author, augmented reality applications can be divided into two classes depending on whether or not they are using a marker – an image or a view of real-world objects providing a unique pattern that can be captured by an AR camera and recognized by AR software. The pattern may be an obvious one (such as a barcode) or a concealed one (such as a landscape painting or a human face). Sometimes these two types of Augmented Reality are called a Marker AR and a Markerless AR.