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Published byFrederick Patterson Modified over 9 years ago
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High Quality Silhouette Illustration for Texture Based Volume Rendering, Nagy and Klein
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Extracting and Rendering Volume Data Silhouettes Problem Nagy & Klein Basic Approach Critical Analysis
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Problem Huge datasets Noisy datasets Need efficient and robust technique
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Silhouette Extraction Techniques Front-face/Back- face Polygonal models Image processing Surface angle (lots of pre-processing)
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Surface Angle Compute gradient at each voxel using first order central differences Evaluate == 0 for each voxel to test silhouette What is the gradient when dealing with volume data? Why does == 0 give us a silhouette?
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Nagy & Klein Approach Hybrid of front/back facing & image processing techniques Processed on GPU Identify contour pixels Identify silhouette pixels
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Nagy & Klein Approach Silhouette broadening performed on CPU Apply a Gaussian filter on image using convolution Use FFT to perform fast convolution
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Results Engine dataset Bonsai tree dataset Skull dataset
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Results Engine dataset Bonsai tree dataset Skull dataset
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Results Engine dataset Bonsai tree dataset Skull dataset
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Analysis Extraction is very fast (GPU processing) Guarantees silhouette width of one pixel Silhouettes are smooth and continuous Only extracts silhouette of most external iso-surface Cannot reveal any internal details
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Analysis Volume rendering by nature is meant to reveal internal details
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