Abstract :
For appreciating 3D cultural objects, e.g., artistic statues, traditional vehicles, and historical buildings or cities, visualization has mainly been used in the following styles: (1) realistic computer graphics, (2) artistic computer graphics, and (3) interactive virtual reality. However, for academic studying of 3D cultural objects, these styles are insufficient. Namely, we need more analytical styles that can extract invisible or veiled features of visualized targets. What makes such analytical visualization more important is recent rapid development of range-sensing technology to digitally archive real 3D objects. For example, modern laser scanning produces over 107 or 108 3D point data for one measurement. To extract useful information from such large-scale and complex data, we need (A) precise 3D transparent visualization, (B) superposition of visual assistants, and (C) time-series visualization.
Keywords :
data visualisation; feature extraction; optical scanners; realistic images; time series; virtual reality; 3D cultural objects; 3D point data; 3D transparent visualization; analytical visualization; artistic computer graphics; complex data; digital 3D object archiving; information extraction; invisible feature extraction; large-scale data visualization; laser scanning; range sensing technology; realistic computer graphics; time series visualization; veiled feature extraction; virtual reality; visual assistant superposition; Buildings; Cultural differences; Data visualization; Laser modes; Measurement by laser beam; Rendering (computer graphics); Three-dimensional displays; Computer Graphics; Miscellaneous Image Processing and Computer Vision; Scene AnalysisRange data;
