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- W2904177737 abstract "We present an approach to synthesizing tag cloud (wordles) maps that produce illusionary visual depth fields based on stereoscopic imaging. By using a 3D scalar field (such as elevation or weather data) as input, the synthesized map yields a visual illusion that suitably simulates the 3D shape of the field; this is done by applying stereoscopic rendering effects to individual word tags. In the generated tag cloud maps, we employed chromastereoptic rendering as a mechanism for controlling the rendering styles of respective place names. Our technical contribution also lies in the formulation for optimizing the layout of place names in a tag cloud by using a genetic algorithm, which effectively simulates the 3D visual depth illusion of a given scalar field over the map domain. Design examples are presented to demonstrate the capability of the proposed approach followed by a discussion of the possible limitations." @default.
- W2904177737 created "2018-12-22" @default.
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- W2904177737 date "2018-07-01" @default.
- W2904177737 modified "2023-09-27" @default.
- W2904177737 title "Depth-Enhanced Tag Cloud Maps" @default.
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- W2904177737 doi "https://doi.org/10.1109/iv.2018.00031" @default.
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