Abstract
Three-dimensional voxel-based objects are inherently discrete and do not maintain any notion of a continuous surface or normal values, which are crucial for the simulation of light behavior. Thus in volume rendering, the normal vector of the displayed surfaces must be estimated prior to rendering. Unlike existing normal estimation methods, the context sensitive approach proposed here considers object and slope discontinuities. It employs segmentation and segment-bounded operators in order to achieve high fidelity normal estimation for rendering volumetric objects.
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© 1991 Springer-Verlag Tokyo
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Yagel, R., Cohen, D., Kaufman, A. (1991). Context Sensitive Normal Estimation for Volume Imaging. In: Patrikalakis, N.M. (eds) Scientific Visualization of Physical Phenomena. Springer, Tokyo. https://doi.org/10.1007/978-4-431-68159-5_12
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DOI: https://doi.org/10.1007/978-4-431-68159-5_12
Publisher Name: Springer, Tokyo
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