Research in Shape Modeling: Los Angeles, July 2013

Automatic prior shape selection for image segmentation: Guo, W.; Qin, J.; Tari, S..- A scalable fluctuating distance field: an application to tumor shape analysis: Alp Guler, R.; Hamamci, A.; Unal G..- Part-aware distance fields for easy inbetweening in arbitrary dimensions: Tari, S..- A biomechanical model of cortical folding: Kim, S.; Hurdal, M.K..- Quantification and visualization of variation in anatomical trees: Amenta, N.; Datar, M.; Dirksen, A.; de Bruijne, M.; Feragen, A.; Ge, X.; Holst Pedersen, J.; Howard, M.; Owen, M.; Petersen, J.; Shi, J.; Xu, Q..- Skeleton-based recognition of shapes in images via longest path matching: Bal, G.; Diebold, J.; Chambers, E.W.; Gasparovic, E.; Hu, R.; Leonard, K.; Shaker, M.; Wenk, C..- Revisiting skeletons from natural images: Erdem, E. & Tari, S..- Towards automated filtering or the medial axis using the scale axis transform: Abiva, J. & Larsson, L.J..- Identifying perceptually salient features on 2D shapes: Larsson, L.J.; Morin, G.; Begault, A.; Chaine, R.; Abiva, J.; Hubert, E.; Hurdal, M.; Li, M.; Paniagua, B.; Tran, G.; Cani, M.-P..