Titlebook: Image Analysis; 15th Scandinavian Co Bjarne Kjær Ersbøll,Kim Steenstrup Pedersen Conference proceedings 2007 Springer-Verlag GmbH Germany,

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Variational Segmentation of Image Sequences Using Deformable Shape Priors,In this paper we propose a new method for variational segmentation of image sequences containing nonrigid, moving objects. The method is based on the classical Chan-Vese model augmented with a novel frame-to-frame interaction term, which allow us to update the segmentation result from one image fram

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Face Detection Using Multiple Cues,h cue has its own pros and cons we, in this paper, suggest to combine several complimentary cues in order to gain more robustness in face detection. Concretely, we apply skin-color, shape, and texture to build a robust detector. We define the face detection problem in a state-space spanned by positi

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Model Based Cardiac Motion Tracking Using Velocity Encoded Magnetic Resonance Imaging,l model of cardiac kinematics by considering data certainty and regularity of the model in order to improve its performance. The method was evaluated using a computer simulated phantom and using in vivo gridtag MRI as gold standard. We show, both quantitatively and qualitatively, that our modified m

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Reconstructing Teeth with Bite Information,ystem of teeth has been modeled with a 3D statistical multi-object shape model build from 3D scans of dental cast models. The restoration is carried out using the shape model statistics in a Bayesian framework to calculate the most probable tooth crown shape(s), given the fragments of one or more ne

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Sparse Statistical Deformation Model for the Analysis of Craniofacial Malformations in the Crouzon udy, Micro CT skull scannings of wild-type mice and Crouzon mice were investigated. Using nonrigid registration, a wild-type craniofacial mouse atlas was built. The atlas was registered to all mice providing parameters controlling the deformations for each subject. Our previous PCA-based statistical

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