Steinharter residence; Munich Architecture; Residences; Interior

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Eighteenth century style dining area; Steinharter residence; Munich Architecture; Residences; Interior

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Eighteenth century style salon; Steinharter residence; Munich Architecture; Residences; Interior

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Eighteenth century style salon; Steinharter residence; Munich Architecture; Residences; Interior

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Eighteenth century style salon; Steinharter residence; Munich Architecture; Residences; Interior

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Steinharter residence; Munich Architecture; Residences; Interior

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Steinharter residence; Munich Architecture; Residences; Interior

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Steinharter residence; Munich Architecture; Residences; Interior

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Steinharter residence; Munich Architecture; Residences; Interior

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Ornate bedroom with mural ceiling; Steinharter residence; Munich Architecture; Residences; Interior

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Kitchen; Steinharter residence; Munich Architecture; Residences; Interior

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King David Hotel - Interior

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Interior Medial Axis Transform computation of 3D objects bound by free-form surfaces

This paper presents an algorithm for generating the Interior Medial Axis Transform (iMAT) of 3D objects with free-form boundaries. The algorithm proposed uses the exact representation of the part and generates an approximate rational spline description of the iMAT. The algorithm generates the iMAT by a tracing technique that marches along the object's boundary. The level of approximation is controlled by the choice of the step size in the tracing procedure. Criteria based on distance and local curvature of boundary entities are used to identify the junction points and the search for these junction points is done in an efficient way. The algorithm works for multiply-connected objects as well. Results of the implementation are provided. (C) 2010 Elsevier Ltd. All rights reserved.

Interior Photon Absorption Based Adaptive Regularization Improves Diffuse Optical Tomography

An adaptive regularization algorithm that combines elementwise photon absorption and data misfit is proposed to stabilize the non-linear ill-posed inverse problem. The diffuse photon distribution is low near the target compared to the normal region. A Hessian is proposed based on light and tissue interaction, and is estimated using adjoint method by distributing the sources inside the discretized domain. As iteration progresses, the photon absorption near the inhomogeneity becomes high and carries more weightage to the regularization matrix. The domain's interior photon absorption and misfit based adaptive regularization method improves quality of the reconstructed Diffuse Optical Tomographic images.