Application of Stochastic Point-Based Rendering to Transparent Visualization of Large-Scale Laser-Scanned Data of 3D Cultural Assets

• Main Authors: Tanaka, Satoshi, Uemura, Makoto, Hasegawa, Kyoko, Kitagawa, Takehiko, Yoshida, Takahiro, Sugiyama, Asuka, Tanaka, Hiromi T., Okamoto, Atsushi, Sakamoto, Naohisa, Koyamada, Koji
• Format: Conference Proceeding
• Language: English
• Subjects: Buildings; Computer Graphics; Cultural differences; Data visualization; Lasers; Miscellaneous Image Processing and Computer Vision; Rendering (computer graphics); Scene AnalysisRange data; Three-dimensional displays; Visualization
• ISSN: 2165-8765; 2165-8773
• DOI: 10.1109/PacificVis.2014.25

We propose a new application of stochastic point-based rendering, which was recently proposed for implicit surfaces, to large-scale laser-scanned 3D point data. Specifically, we propose a scheme to apply the rendering to transparent and fused visualization of recent large and complex laser-scanned data from cultural assets. Our scheme uses 3D points that are directly acquired using a laser scanner as the rendering primitives. For laser-scanned data that consist of more than 107 or 108 3D points, the pre-processing stage takes only a few minutes, and the rendering stage is executable at interactive frame rates. We do not encounter rendering artifacts originating from the indefiniteness of depth-sorted orders of rendering primitives. Fused visualization with various visual assistants is also possible. We demonstrate the effectiveness of our scheme by visualizing a campus building and a culturally important festival float.