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.

Rendering (computer graphics), Three-dimensional displays, Data visualization, Lasers, Visualization, Buildings, Cultural differences,Scene AnalysisRange data, Computer Graphics, Miscellaneous Image Processing and Computer Vision

Satoshi Tanaka, Makoto Uemura, Kyoko Hasegawa, Takehiko Kitagawa, Takahiro Yoshida, Asuka Sugiyama, Hiromi T. Tanaka, Atsushi Okamoto, Naohisa Sakamoto, Koji Koyamada, "Application of Stochastic Point-Based Rendering to Transparent Visualization of Large-Scale Laser-Scanned Data of 3D Cultural Assets", Visualization Symposium, IEEE Pacific, vol. 00, no. , pp. 267-271, 2014, doi:10.1109/PacificVis.2014.25