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Finding good representational images for 3D object exploration is a highly subjective problem in the cognitive field. The “best” or “good” definitions do not depend on any metric. We have explained the VKL distance concept and introduced a novel view descriptor called vSKL distance for finding “good” representational images. The image generation is done by(More)
  • Selim Balcısoy, Berrin Yanıkoğlu, +5 authors Ekrem Serin
  • 2006
Visualization techniques for geographic data show vast variations which are welldeveloped over centuries. While most of the known techniques are sound for low dimensional data sets, few techniques exist for visualization of high dimensional data within the geographic framework. This thesis investigates visualization of temporal, high dimensional network(More)
This paper introduces a technique to analyze and visualize social networks using Shannon's entropy model. Entropy is exploited to measure the information amount in social network graphs, and to conduct sensitivity analyses. Novel measures such as degree, betweenness and closeness entropies are evaluated to find the change in graph entropy or the actors. In(More)
Navigation in 3D terrain is considered to be a challenging task and requires virtual camera control skills such as zooming, panning and tilting. Novice users can easily get distracted and disoriented that may result with lost in space. Methods to overcome the virtual environment exploration problems are still being researched to assist users during their(More)
Navigation in 3D terrain is considered to be a challenging task and requires virtual camera control skills such as zooming, panning and tilting. Novice users can easily get distracted and disorientated which may result in being lost in space. Solutions for the virtual environment exploration problems are still being researched in order to assist users(More)
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