Books on the topic 'Rendering Algorithm'

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1

Theoharis, Athan G. Algorithms for parallel polygon rendering. Berlin: Springer-Verlag, 1989.

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2

Theoharis, T., ed. Algorithms for Parallel Polygon Rendering. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51394-9.

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3

Theoharis, T. Algorithms for parallel polygon rendering. Berlin: Springer-Verlag, 1989.

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4

Thomas, Crockett, Hansen Charles D, Whitman Scott, IEEE Computer Society, and SIGGRAPH, eds. 1993 Parallel Rendering Symposium: Proceedings, San Jose, California, October 25-26, 1993. New York: Association for Computing Machinery, 1993.

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5

Tobias, Orloff, Langley Research Center, and Institute for Computer Applications in Science and Engineering., eds. A parallel rendering algorithm for MIMD architectures. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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6

Ewins, Jon P. Algorithm design for 3D computer graphics rendering. 2000.

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7

United States. National Aeronautics and Space Administration., ed. Feed-forward volume rendering algorithm for moderately parallel MIMD machines. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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8

United States. National Aeronautics and Space Administration., ed. Feed-forward volume rendering algorithm for moderately parallel MIMD machines. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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9

A data distributed parallel algorithm for ray-traced volume rendering. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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10

United States. National Aeronautics and Space Administration., ed. Feed-forward volume rendering algorithm for moderately parallel MIMD machines. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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11

W, Crockett Thomas, and Langley Research Center, eds. A scalable parallel cell-projection volume rendering algorithm for three-dimensional unstructured data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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12

W, Crockett Thomas, and Langley Research Center, eds. A scalable parallel cell-projection volume rendering algorithm for three-dimensional unstructured data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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13

W, Crockett Thomas, and Langley Research Center, eds. A scalable parallel cell-projection volume rendering algorithm for three-dimensional unstructured data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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14

W, Crockett Thomas, and Langley Research Center, eds. A scalable parallel cell-projection volume rendering algorithm for three-dimensional unstructured data. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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15

(Editor), Ming C. Lin, and Miguel Otaduy (Editor), eds. Haptic Rendering. A K Peters, 2008.

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16

C, Lin Ming, and Otaduy Miguel A, eds. Haptic rendering: Foundations, algorithms, and applications. Wellesley, Mass: A.K. Peters, 2008.

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17

C, Lin Ming, and Otaduy Miguel A, eds. Haptic rendering: Foundations, algorithms, and applications. Wellesley, MA: A K Peters, 2008.

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18

Schacher, Jan C. Algorithmic Spatialization. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.12.

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Beginning with a brief historical overview of spatial audio and music practices, this chapter looks at principles of sound spatialization, algorithms for composing and rendering spatial sound and music, and different techniques of spatial source positioning and sound space manipulation. These operations include composing with abstract objects in a sound scene, creating compound sounds using source clusters, altering spatial characteristics by means of spectral sound decomposition, and the manipulation of artificial acoustic spaces. The chapter goes on to discuss practical issues of live spatialization and, through an example piece, the ways a number of different algorithms collaborate in the constitution of a generative audio-visual installation with surround audio and video. Finally, the challenges and pitfalls of using spatialization and some of the common reasons for failure are brought to attention.
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19

Cunningham, Steve. 1993 Parallel Rendering Symposium: Proceedings San Jose, California, October 25-26, 1993. Ieee Computer Society, 1993.

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20

Badano, Luigi P., Roberto M. Lang, and Alexandra Goncalves. Three-dimensional echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0007.

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The advent of fully-sampled matrix array transthoracic transducers has enabled advanced digital processing and improved image formation algorithms and brought three-dimensional echocardiography (3DE) technology into clinical practice. Currently, 3DE is recognized as an important echocardiographic technique, demonstrated to be superior to two-dimensional echocardiography in various clinical scenarios. This chapter focuses on the technology of 3DE matrix transducers, physics of 3D imaging, data set acquisition (multiplane, real-time, full-volume, zoom, and colour), and display (volume rendering, surface rendering and multislice) modalities. The chapter also addresses the issues of training in 3DE, and main clinical indications and reporting of transthoracic and transoesophageal 3DE.
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21

1993 Parallel Rendering Symposium: Proceedings, San Jose, California, October 25-26, 1993. Association for Computing Machinery, 1993.

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22

Geng, Weidong. The Algorithms and Principles of Non-photorealistic Graphics: Artistic Rendering and Cartoon Animation (Advanced Topics in Science and Technology in China). Springer, 2010.

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