The great advances in the field of 3d scanning technologies have enabled the creation of meshes with hundred millions of polygons. Rendering data sets of that size is time consuming even with commodity graphics hardwa...
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Nowadays the processing power of mobile phones, smartphones and PdAs is increasing as well as the transmission bandwidth. Nevertheless there is still the need to reduce the content and the need of processing the data....
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Nowadays the processing power of mobile phones, smartphones and PdAs is increasing as well as the transmission bandwidth. Nevertheless there is still the need to reduce the content and the need of processing the data. We discuss the proposals and solutions for dynamic reduction of the transmitted content. For that, device specific properties are taken into account, as much as for the aim to reduce the need of processing power at the client side to be able to display the 3d (virtual reality) data. Therefore, well known technologies, e.g. data compression are combined with new developed ideas to reach the goal of adaptive content transmission. To achieve a device dependant reduction of processing power the data have to be preprocessed at the server side or the server even has to take over functionality of weak mobile devices.
Summary form only given. With the advent of large 3ddatasets, generated mostly by 3d scanning devices, geometric mesh processing has become an important field within computer graphics and geometric modeling. In this ...
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Summary form only given. With the advent of large 3ddatasets, generated mostly by 3d scanning devices, geometric mesh processing has become an important field within computer graphics and geometric modeling. In this article, the author describes on what has been accomplished in this field over the past decade, where the field stands today and where the author thinks it is going. The author's perspective is based on his academic and industrial experience in geometry processing over the last decade.
We propose a depth scaling method that enables visualization of arbitrary-shaped3d scenes on 3ddisplays. Most current 3ddisplays have a depth limitation, while the scene to be displayed has not. The trivial solutio...
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We propose a depth scaling method that enables visualization of arbitrary-shaped3d scenes on 3ddisplays. Most current 3ddisplays have a depth limitation, while the scene to be displayed has not. The trivial solutions as clipping or linear scaling of the scene's 3d bounding box suffer from nonoptimal utilization of the display's capabilities. Our approach uses spatially adaptive depth scaling that maximizes the perceptual 3d effect. From the original scene geometry, the topology and local depth ordering among objects are preserved, while depth linearity is disregarded. The scaling method applies to nearly all 3ddisplays, such as glasses-based, head-tracked, multiview, holographic and volumetric 3ddisplays. Subjective tests with the dynamic dimension display system show that our method significantly increases the perceptual 3d effect.
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