Model overview by optimizing visual information and visibilityompleteness
Date Issued
2009
Date
2009
Author(s)
Hsieh, Chang-Yen
Abstract
Selection of viewing parameters is a widely studied problem. Researchers from different areas pay attentions to different parts of the problem because the complete one involves too many variables, and the ideal results highly depend on the concrete applications. One of the topics is to understand aD model by automatically generated views or overviewvideos. The difficulty comes from how the quality of views and videos be evaluated. In this thesis, we introduce a measure based on Shannon entropy to compare the amount of information for different overview videos. The measurement considers both visual quality and visibility completeness of the target 3D model with fixed lighting parameters. Furthermore, the measurement can be easily implemented on graphics hardware so the computation can be completed in reasonable time. We then combine the measurement with camera movement constrains to automatically generate a smooth camera control path that provides an overview for the model.
Subjects
model overview
Shannon entropy
visual information
visibility completeness
Type
thesis
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