In order to compute texture atlases with low stretch and hardly visible texture seams existing texture mapping tools pose high demands on the quality of surface representations like consistent orientation, watertightn...
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In order to compute texture atlases with low stretch and hardly visible texture seams existing texture mapping tools pose high demands on the quality of surface representations like consistent orientation, watertightness, or manifoldness which many models commonly used in day-to-day modeling practice fail to meet. In this paper we propose an approach that bridges the gap between requirements of high quality texture mapping tools and poor mesh connectivity of models used in practice. In the spirit of classical two-part mapping an intermediate proxy surface is created that can be processed by high quality texture mapping tools. The texture signal is transferred to the original geometry using a novel mapping technique. Avoiding a modification of the original geometry typical problems of mesh repairing approaches like approximation errors or feature corruption are circumvented. As our method poses almost no demands on connectivity it can also be applied to point clouds. Contrary to classical two- part mapping, the method requires little user-interaction. Its robustness and quality are demonstrated in several examples.
The automatic creation of 3D models of urban spaces has become a very active field of research. This has been inspired by recent applications in the location-awareness on the Internet, as demonstrated in *** and simil...
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The authors have demonstrated the epitaxial growth of Sc2 O3 films on GaN (0001) using pulsed laser deposition (PLD) (with KrF excimer laser). The characteristics of these Sc2 O3 films were found to be highly dependen...
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We present a novel rendering algorithm that analyses the ray profiles along the line of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of ...
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ISBN:
(纸本)1568813376
We present a novel rendering algorithm that analyses the ray profiles along the line of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold is based on the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers. The user can scroll through the layers inspecting various features from the current view position. While our technique has been inspired by opacity peeling approach, we demonstrate that we can reveal detectable features even in the third and forth layers for both CT and MRI datasets.
A Pre-RAKE system is proposed for the Direct Sequence (DS) UWB communications to capture the energy effectively in multipath channels. Based on the Pre-RAKE technique, the equivalent performance of RAKE with MRC can b...
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Mesh editing methods based on differential surface representations are known for their efficiency and ease of implementation. For reconstruction from such representations, local frames have to be determined which is a...
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ISBN:
(纸本)9780769530093;0769530095
Mesh editing methods based on differential surface representations are known for their efficiency and ease of implementation. For reconstruction from such representations, local frames have to be determined which is a nonlinear problem. In linear approximations frames can either degenerate or become inconsistent with the geometry. Both results in contra-intuitive deformations. Existing nonlinear approaches, however, are comparatively slow and considerably more complex. In this paper we present a differential representation that implicitly enforces orthogonal and geometry consistent frames while allowing a simple and efficient implementation. In particular, it enforces conformal surface deformations preserving local texture features.
In this paper, a high data rate (HDR) Prerake direct sequence ultra-wideband (DS UWB) system is proposed. In the HDR Prerake DS UWB system, the Prerake filter is the complete reverse of channel impulse response. The h...
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Background modeling techniques are important for object detection and tracking in video surveillance. Traditional background subtraction approaches are suffered from problems, such as persistent dynamic backgrounds, q...
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Background modeling techniques are important for object detection and tracking in video surveillance. Traditional background subtraction approaches are suffered from problems, such as persistent dynamic backgrounds, quick illumination changes, occlusions, noise etc. In this paper, we address the problem of detection and localization of moving objects in a video stream without apperception of background statistics. Three major contributions are presented. First, introducing the Monte Carlo importance sampling techniques greatly reduce the computation complexity while compromise the expected accuracy. Second, the robust salient motion is considered when resampling the feature points by removing those who do not move in a relative constant velocity. Finally, the proposed spatial kinetic mixture of Gaussian model (SKMGM) enforced spatial consistency. Promising results demonstrate the potentials of the proposed framework.
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