Statistical Shape Modelling - Course Run 2018
Resources
Week 1: Basic concepts of shape modelling and the Scalismo software
Week 2: Building shape models: fundamental concepts in theory and practice
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GAUSSIAN PROCESSES: FROM RANDOM VECTORS TO RANDOM FUNCTIONS (Article)
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GAUSSIAN PROCESSES AND POINT DISTRIBUTION MODELS (Video 05:18)
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SCALISMO LAB: GAUSSIAN PROCESSES AND POINT DISTRIBUTION MODELS (Article)
Week 3: Probabilistic aspects of shape models
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SCALISMO LAB: GAUSSIAN PROCESS SAMPLING AND MARGINALISATION (Article)
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FINITE RANK REPRESENTATIONS OF A GAUSSIAN PROCESS (Video 09:16)
Week 4: Modelling with Gaussian Processes
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SHAPE MODELLING WITH GAUSSIAN PROCESSES AND KERNELS (Video 14:38)
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SCALISMO LAB: SHAPE MODELLING WITH GAUSSIAN PROCESSES AND KERNELS (Article)
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ENLARGING THE FLEXIBILITY OF STATISTICAL SHAPE MODELS (Article)
Week 5: Reconstructing missing parts
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SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Video 11:44)
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SCALISMO LAB: SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Article)
Week 6: Fitting models to data
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SCALISMO LAB: ITERATIVE CLOSEST POINTS FOR RIGID ALIGNMENT (Article)
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SCALISMO LAB: MODEL FITTING WITH ITERATIVE CLOSEST POINTS (Article)