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제안 방법
- 5. Additional terrain geometry created with our system for "The Lion, the Witch, and the Wardrobe";. Landscape meshes arc created from the original plates (Left) and used to composite characters and shadows into the scene (Right).
- The GMM was also used for automated clustering of points. The resulting "clean" point samples were used in a geometry reconstruction step to obtain a final three-dimensional representation of the photographed terrain. Our approach was successfully employed in several feature films, most notably "The Chronicles of Narnia\ and the recent film "The Kingdom'.
- Our approach was successfully employed in several feature films, most notably "The Chronicles of Narnia\ and the recent film "The Kingdom'. Future work includes extending the approach to handle fully 3-dimensional terrain, complete with overhangs and other complicated geometries. Such an improvement requires modification to our quantification of errors, reminiscent of [Hoppe et al.
- This is achieved by locally fitting a radial basis function to the neighborhood of a point to predict its error likelihood, and a Gaussian mixture model to automatically determine the appropriate error cutoff threshold. The final step is to use this cleaned dataset in a surface generation method that captures the many benefits of using RBFs as a scattered data interpolant for the remaining irregularly sampled dataset.
이론/모형
- Figure 3 demonstrates how this outher rejection improves the reconstruction quality. Surface Alignment: A high resolution quad mesh is created, with principle axes aligned with the principle axes of the dataset P (expressed as a matrix X) through use of Principle Component Analysis (PCA). We compute the covariance matrix C =(X - X)(X - X) where X denotes the mean position, and apply an eigen decomposition D = VCV to extract the principle direction vectors V.
- obtained via optical flow of an input image sequence. The algorithm used locally fit radial basis functions to estimate errors, and a Gaussian mixture model mechanism to determine an appropriate cutoff threshold. The GMM was also used for automated clustering of points.
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