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Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization
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作者 Tanaka Satoshi 《系统仿真学报》 CAS CSCD 北大核心 2023年第8期1635-1650,共16页
Three-dimensional(3D) scanning technology has undergone remarkable developments in recent years.Data acquired by 3D scanning have the form of 3D point clouds.The 3D scanned point clouds have data sizes that can be con... Three-dimensional(3D) scanning technology has undergone remarkable developments in recent years.Data acquired by 3D scanning have the form of 3D point clouds.The 3D scanned point clouds have data sizes that can be considered big data.They also contain measurement noise inherent in measurement data.These properties of 3D scanned point clouds make many traditional CG/visualization techniques difficult.This paper reviewed our recent achievements in developing varieties of high-quality visualizations suitable for the visual analysis of 3D scanned point clouds.We demonstrated the effectiveness of the method by applying the visualizations to various cultural heritage objects.The main visualization targets used in this paper are the floats in the Gion Festival in Kyoto(the float parade is on the UNESCO Intangible Cultural Heritage List) and Borobudur Temple in Indonesia(a UNESCO World Heritage Site). 展开更多
关键词 3D scanning point cloud transparent visualization noise transparentization cultural heritage object
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Leveraging personality as a proxy of perceived transparency in hierarchical visualizations
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作者 Tomás Alves Carlota Dias +1 位作者 Daniel Gonçalves Sandra Gama 《Visual Informatics》 2025年第1期43-57,共15页
Understanding which factors affect information visualization transparency continues to be one of the most relevant challenges in current research,especially since trust models how users build on the knowledge and use ... Understanding which factors affect information visualization transparency continues to be one of the most relevant challenges in current research,especially since trust models how users build on the knowledge and use it.This work extends the current body of research by studying the user’s subjective evaluation of the visualization transparency of hierarchical charts through the clarity,coverage,and look and feel dimensions.Additionally,we extend the user profile to better understand whether personality facets manifest a biasing effect on the trust-building process.Our results show that the data encodings do not affect how users perceive visualization transparency while controlling for personality factors.Regarding personality,the propensity to trust affects how they judge the clarity of a hierarchical chart.Our findings provide new insights into the research challenges of measuring trust and understanding the transparency of information visualization.Specifically,we explore how personality factors manifest in this trust-building relationship and user interaction within visualization systems. 展开更多
关键词 CONSCIENTIOUSNESS TRUST Hierarchical data visualization transparency Perception
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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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作者 Yuichi Sakano Yurina Kitaura +4 位作者 Kyoko Hasegawa Roberto Lopez-Gulliver Liang Li Hiroshi Ando Satoshi Tanaka 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2018年第3期115-130,共16页
Transparent visualization is used in many fields because it can visualize not only the frontal object but also other important objects behind it.Although in many situations,it would be very important for the 3D struct... Transparent visualization is used in many fields because it can visualize not only the frontal object but also other important objects behind it.Although 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 perceived.To 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 display.For the visualization,we employed a stochastic point-based rendering(SPBR)method,which was developed recently as a technique for efficient transparentrendering.Perceived depth of the transparent object was smaller than the simulated depth.We 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. 展开更多
关键词 Transparent visualization automultiscopic 3D image psychophysics.
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