Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface shape and curvature scales
Image and Vision Computing
Active shape models—their training and application
Computer Vision and Image Understanding
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Advanced algorithmic approaches to medical image segmentation
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In medical imaging, 3D boundary extraction is a preliminary requisite for a coherent shape analysis of an organ. Deformable objects, like the heart cavities, are often hard to detect because of the artefacts caused by the motion. The authors present a 3D deformable surface model based on a parameterized representation combined with a random process of deformation. The solution is searched for by the minimization of an energy function through simulated annealing. The authors also discuss the introduction of a priori shape information about the object. The boundary extraction algorithm is applied to 3D CT data of a dog's heart.