| Summary: | 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 90 === The paper describes a point rendering system for complex 3D models. For a given 3D model, we build a compact representation of points that significantly compress 3D model. In this representation, we exploit 3D Harr wavelet to build a hierarchy of points that preserves key features inherent in the original models. Our rendering algorithm can use this hierarchy to dynamically choose appropriate resolution for display. In contrast to other well-known previous work such as QSplat [5] and POP [6], there are many key features in the proposed method:
1. High compression data ratio.
2. Points are dynamically added according to a novel camera-sampling field (CSF) to yield smooth surface representation.
3. Point-shapes are dynamically adjusted also by CSF to yield a smooth silhouette.
4. Points are uniformly added layer by layer to avoid blurring.
5. 3D models are decomposed into many parts and each part is reconstructed by a radial-based function (RBF).
At run time, our rendering algorithm takes the following into account such as frame coherence, view frustum culling, back-face culling and so on. Therefore, the proposed system can effectively render 3D models.
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