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This is a new edited volume on shape analysis presenting results in shape modeling and computational geometry from the 2013 Association for Women in Mathematics (AWM) symposium held at UCLA's Institute for Pure and Applied Mathematics (IPAM). In-depth discussion of shape modeling techniques is supplemented by full-color illustrations demonstrating the results of workshop-developed shape modeling algorithms. It will be the first volume in Springer's AWM series.
This is a new edited volume on shape analysis presenting results in shape modeling and computational geometry from the 2013 Association for Women in Mathematics (AWM) symposium held at UCLA's Institute for Pure and Applied Mathematics (IPAM). In-depth discussion of shape modeling techniques is supplemented by full-color illustrations demonstrating the results of workshop-developed shape modeling algorithms. It will be the first volume in Springer's AWM series.
Kathryn Leonard Department of Mathematics California State University, Channel Islands One University Drive Camarillo, CA, USA 93012 Sibel Tari Department of Computer Engineering Middle East Technical University Universiteler Mah. Dumlupinar Blv. No: 1 06800 Ankara, Turkey.
Inhaltsangabe
Automatic prior shape selection for image segmentation.- A scalable fluctuating distance field: an application to tumor shape analysis.- Part-aware distance fields for easy inbetweening in arbitrary dimensions.- A biomechanical model of cortical folding.- Quantification and visualization of variation in anatomical trees.- Skeleton-based recognition of shapes in images via longest path matching.- Revisiting skeletons from natural images.-Towards automated filtering or the medial axis using the scale axis transform.- Identifying perceptually salient features on 2D shapes.
Automatic prior shape selection for image segmentation.- A scalable fluctuating distance field: an application to tumor shape analysis.- Part-aware distance fields for easy inbetweening in arbitrary dimensions.- A biomechanical model of cortical folding.- Quantification and visualization of variation in anatomical trees.- Skeleton-based recognition of shapes in images via longest path matching.- Revisiting skeletons from natural images.-Towards automated filtering or the medial axis using the scale axis transform.- Identifying perceptually salient features on 2D shapes.
Automatic prior shape selection for image segmentation.- A scalable fluctuating distance field: an application to tumor shape analysis.- Part-aware distance fields for easy inbetweening in arbitrary dimensions.- A biomechanical model of cortical folding.- Quantification and visualization of variation in anatomical trees.- Skeleton-based recognition of shapes in images via longest path matching.- Revisiting skeletons from natural images.-Towards automated filtering or the medial axis using the scale axis transform.- Identifying perceptually salient features on 2D shapes.
Automatic prior shape selection for image segmentation.- A scalable fluctuating distance field: an application to tumor shape analysis.- Part-aware distance fields for easy inbetweening in arbitrary dimensions.- A biomechanical model of cortical folding.- Quantification and visualization of variation in anatomical trees.- Skeleton-based recognition of shapes in images via longest path matching.- Revisiting skeletons from natural images.-Towards automated filtering or the medial axis using the scale axis transform.- Identifying perceptually salient features on 2D shapes.
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