When transacting and interacting through open computer networks, traditional methods used in the physical world for establishing trust can no longer be used. Creating virtual network substitutes with which people, org...
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Hybrid user interfaces (UIs) integrate well-known 2D user interface elements into the 3D virtual environment, and provide a familiar and portable interface across a variety of VR systems. However, their usability is o...
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Background subtraction is widely used as an effective method for detecting moving objects in a video image. However, background subtraction requires a prerequisite in that image variation cannot be observed, and the r...
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We present IntenSelect, a novel selection technique that dynamically assists the user in the selection of 3D objects in Virtual Environments. Ray-casting selection is commonly used, although it has limited accuracy an...
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Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that u...
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The paper is devoted the problem of robust forecasting for the beta-mixed hierarchical models of grouped binary data in the case of stochastic additive distortions of binary observations. In the case of known lower an...
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ISBN:
(纸本)9856107334
The paper is devoted the problem of robust forecasting for the beta-mixed hierarchical models of grouped binary data in the case of stochastic additive distortions of binary observations. In the case of known lower and upper bounds of the distortion intervals, a new robust minimax Bayes predictor is developed. The performance of the proposed forecasting technique is validated by computer simulation.
In this paper we introduce a new technique designed to optimize stereoscopic depth perception of small targets embedded in 3D scenes. Central to the technique is a modified version of an image processing algorithm ori...
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ISBN:
(纸本)0889864152
In this paper we introduce a new technique designed to optimize stereoscopic depth perception of small targets embedded in 3D scenes. Central to the technique is a modified version of an image processing algorithm originally designed for gray scale image enhancement. This has been adapted and modified to adjust the stereoscopic depth in a 3D scene while mostly preserving other depth cues such as perspective, texture gradients, size gradients and occlusion. An experimental study to evaluate the algorithm showed that enhanced stereoscopic depth can enable the detection of targets that would otherwise be missed.
We have studied the hydrostatic pressure dependence of Ge nanocrystals embedded in a SiO2 matrix on a Si substrate by Raman scattering at room temperature. During the first cycle of increasing pressure, we observed a ...
We have studied the hydrostatic pressure dependence of Ge nanocrystals embedded in a SiO2 matrix on a Si substrate by Raman scattering at room temperature. During the first cycle of increasing pressure, we observed a step change in the Ge Raman mode from 310.4 to 313.8cm−1 at ∼23kbar. The linear pressure coefficients α obtained before and after the step change at ∼23kbar are 0.42 and 0.64cm−1kbar−1, respectively. Upon decreasing pressure, the Ge mode follows a single slope of pressure coefficient α=0.64cm−1kbar−1. A finite-element analysis was carried out to investigate the elastic-field distribution in the Ge/SiO2/Si nanocrystal system, where the discontinuity of the specific geometric configuration with different elastic constants causes local areas of stress concentration around the interface. The step change of the Raman shifts with pressure at ∼23kbar was attributed to complete delamination between the SiO2 film and the Si substrate.
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