While the growing demand for new building models contained in virtual worlds, games, and movies, makes the easy and fast creation of modifiable models more and more important, 3D modeling of buildings can be a tedious...
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While the growing demand for new building models contained in virtual worlds, games, and movies, makes the easy and fast creation of modifiable models more and more important, 3D modeling of buildings can be a tedious task due to their sometimes complex geometry. For historic buildings, especially the roofs can be challenging. We present a new method of combining simple building solids to form more complex buildings, and give an emphasis on the blending of roof faces. This can be integrated in common pipelines for procedural modeling of buildings and will bring more expressiveness than existing methods.
As the next generation of networking computing, cloud computing can offer both software and hardware as on-demand resources and services over the Internet and therefore reduce the capital expenditure and operational e...
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In this demo, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm. The key properties of the architecture include proces...
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In this paper,we present a hybrid method,which integrates PIC/FLIP and vortex particle methods into a unified framework,to efficiently simulate vortex shedding that happens when fluids flow around internal *** improve...
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In this paper,we present a hybrid method,which integrates PIC/FLIP and vortex particle methods into a unified framework,to efficiently simulate vortex shedding that happens when fluids flow around internal *** improve efficiency and reduce the numerical dissipations,we first solve the governing equations on a coarse grid using PIC/FLIP,and then interpolate the intermediate results to a finer grid to obtain the base *** the regular particles in PIC/FLIP enter the boundary layer,if the specified conditions are satisfied to cause vortex shedding,they are selected as vortex particles by assigning additional vorticity related *** vortex particle dynamics are controlled by the vorticity form of NS equations,and several efficient methods are proposed to solve them on the finer ***,the obtained turbulence flow is added to the base *** a result,we are able to simulate turbulent water with rich wake details around the internal obstacles.
Adverse drug reactions have become one of the top causes of deaths. For surveillance of adverse drug events, patients have gradually become involved in reporting their experiences with medications through the use of d...
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Detection of straight lines is an important basic task of computer vision. It is receiving attention of researchers since the "early days" till today. Solving this task introduced an important concept—the H...
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Thresholding-based techniques have been widely used in image segmentation. The selection of appropriate threshold is a very significant issue for image thresholding. In this paper, a new image histogram thresholding m...
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Thresholding-based techniques have been widely used in image segmentation. The selection of appropriate threshold is a very significant issue for image thresholding. In this paper, a new image histogram thresholding method based on fuzzy partition and maximum correlation criterion is presented. In the proposed approach, the regions, i.e. object and background, are considered ambiguous in nature, and hence the regions are transformed into fuzzy domain with membership functions. Then, the fuzzy correlations about regions are constructed and the optimal threshold is determined by searching an optimal parameter combination of the membership functions such that the correlation of the fuzzy partitions is maximized. Since the exhaustive search for all fuzzy parameter combinations is too costly, the differential evolution algorithm is introduced into fuzzy correlation image segmentation to solve this optimal problem adaptively. Experimental results on general images and infrared images demonstrate the effectiveness of the proposed method.
We present a system for capturing human motions based on video data from multiple cameras. It realizes a 3-dimensional voxel-based reconstruction of the human together with an estimation of the pose of his complete bo...
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ISBN:
(纸本)9789898565464
We present a system for capturing human motions based on video data from multiple cameras. It realizes a 3-dimensional voxel-based reconstruction of the human together with an estimation of the pose of his complete body in each frame. The use of an underlying kinematic skeleton together with an idealized geometric model can guarantee a valid pose even in the face of occlusions caused by the incomplete spatial information gained from the cameras. The data-parallel nature of the used algorithms makes them well-suited for the implementation on modern graphics hardware. In this way the motion can be captured in real-time on a single PC despite the computation of a reconstruction accurate enough for a high quality pose estimation.
Split FOV (Field of View) star tracker was developed by Texas A&M University together with the University of Rome “La Sapienza”. A 50% splitter was used to combine light beams from two separate FOVs, while only ...
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Split FOV (Field of View) star tracker was developed by Texas A&M University together with the University of Rome “La Sapienza”. A 50% splitter was used to combine light beams from two separate FOVs, while only a single objective lens and optical detector are used. In this way, double FOV configuration allows increased accuracy in attitude determination by taking advantage of the ability to examine two orthogonal FOVs simultaneously. There is a demand for optical tag due to each frame contained overlapping star images coming from separate FOVs. In this paper we propose a method for identifying two FOVs by tagging the images with different shaped diffraction patterns. We insert a circular diaphragm in the optical channel 1 # and non-circular (elliptical or rectangular) in the channel 2 # , so that images with distinctive features are produced at CCD photosensitive surface - circular Airy disc for the FOV-1 # and elliptical contour (with side lobe or distortion) for FOV-2 # . The effects of elliptical sampling window and the signal-to-noise ratio on the accuracy of the centroid estimate for star spots with a Gaussian intensity distribution were discussed theoretically. The optical tagging has one limitation. There is possibility for a star image tagged by non-circular contour, which is confused with smearing trail due to high angular velocity operation (e.g. greater than 1°/s).
Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections are often dependent on o...
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