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Quantitative evaluation of perceived depth of transparently-visualized medical 3d data presented with a multi-view 3d display

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第3期9卷 115-130页

作者： Yuichi Sakano Yurina Kitaura Kyoko Hasegawa Roberto Lopez-Gulliver Liang Li Hiroshi Ando Satoshi Tanaka Center for Information and Neural Networks(CiNet)National Institute of Information and Communications Technology and Osaka University 2B6CiNet1-4 Yamadaoka SuitaOsaka 565-0871Japan Graduate School of Frontier Biosciences Osaka University 1-4 YamadaokaSuitaOsaka565-0871Japan Graduate School of Information Science and Engineering Ritsumeikan University 1-1-1 Noji-higashi KusatsuShiga 525-8577Japan College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji-higashi KusatsuShiga 525-8577Japan

Transparent visualization is used in many fields because it can visualize not only the frontal object but also other important objects behind *** in many situations,it would be very important for the 3d structures of the visualized transparent images to be perceived as they are simulated,little is known quantitatively as to how such transparent 3d structures are *** address this question,in the present study,we conducted a psychophysical experiment in which the observers reported the perceived depth magnitude of a transparent object in medical images,presented with a multiview 3d *** the visualization,we employed a stochastic point-based rendering(SPBR)method,which was developed recently as a technique for efficient *** depth of the transparent object was smaller than the simulated *** found,however,that such depth underestimation can be alleviated to some extent by(1)applying luminance gradient inherent in the SPBR method,(2)employing high opacities,and(3)introducing binocular disparity and motion parallax produced by a multi-view 3d display.

关键词： Transparent visualization automultiscopic 3d image psychophysics.

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