A method is discussed for combining flexibility in defining 3-dimensional geometric shape with system maintained integrity. Such capabilities allow the user to concentrate on local considerations in modifying design d...
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Point-based geometry representations have become widely used in numerous contexts,ranging from particle-based simulations,over stereo image matching,to depth sensing via light detection and *** application focus is on...
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Point-based geometry representations have become widely used in numerous contexts,ranging from particle-based simulations,over stereo image matching,to depth sensing via light detection and *** application focus is on the reconstruction of curved line structures in noisy 3D point cloud *** algorithms operating on such point clouds often rely on the notion of a local *** the latter,our approach employs multi-scale neighborhoods,for which weighted covariance measures of local points are *** line structures are reconstructed via vector field tracing,using a bidirectional piecewise streamline *** also introduce an automatic selection of optimal starting points via multi-scale geometric *** pipeline development and choice of parameters was driven by an extensive,automated initial analysis process on over a million prototype test *** behavior of our approach is controlled by several parameters—the majority being set automatically,leaving only three to be controlled by a *** an extensive,automated final evaluation,we cover over one hundred thousand parameter sets,including 3D test geometries with varying curvature,sharp corners,intersections,data holes,and systematically applied varying types of ***,we analyzed different choices for the point of reference in the co-variance computation;using a weighted mean performed best in most *** addition,we compared our method to current,publicly available line reconstruction *** to thirty times faster execution times were achieved in some cases,at comparable error ***,we also demonstrate an exemplary application on four real-world 3D light detection and ranging datasets,extracting power line cables.
A fast algorithm is presented that can handle the motion planning problem for articulated figures with branches and many degrees of freedom. The algorithm breaks down the degrees of freedom of the figure into Cspace g...
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In this paper, we describe an interactive system for positioning articulated figures which uses a 3D direct manipulation technique to provide input to an inverse kinematics algorithm running in real time. The system a...
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We describe techniques for interactively controlling bipedal articulated figures through kinematic constraints. These constraints model certain behavioral tendencies which capture some of the characteristics of human-...
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Emerging and established methods, such as optical imaging and MR spectroscopy (MRS), offer new opportunities for in situ biosensing. The limited tissue penetration of these modalities can be addressed by locally placi...
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Traditional algorithm visualization software supports the creation of "high fidelity" visualizations, which depict the target algorithm for arbitrary input, and have the polished look of textbook figures. Dr...
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A method is discussed for combining flexibility in defining 3-dimensional geometric shape with system maintained integrity. Such capabilities allow the user to concentrate in modifying design databases in an interacti...
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A method is discussed for combining flexibility in defining 3-dimensional geometric shape with system maintained integrity. Such capabilities allow the user to concentrate in modifying design databases in an interactive environment.
Point sets are a widely used spatial data structure in computational and observational domains, e.g. in physics particle simulations, computergraphics or remote sensing. Algorithms typically operate in local neighbor...
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On account of having real-time behavior and being easy to implement, spring meshes have been used for modeling deformable objects. Determining spring stiffness parameters for simulation of soft objects with high accur...
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