Abstract
A combination of interactive classification and supersampling visualization algorithms is described, which delivers greatly enhanced realism of 3D reconstructions of the Visible Human data set. Objects are classified on basis of ellipsoidal regions in RGB-space. The ellipsoids are used for supersampling in the visualization process.
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© 1996 Springer-Verlag Berlin Heidelberg
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Schiemann, T., Nuthmann, J., Tiede, U., Höhne, K.H. (1996). Segmentation of the visible human for high quality volume based visualization. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046931
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DOI: https://doi.org/10.1007/BFb0046931
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