Ian Jermyn
homepage:http://www-sop.inria.fr/ariana/personnel/Ian.Jermyn/
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Description

Thanks to Bayes' theorem, any image processing problem involves two parts: a model of the image, given the semantics one is seeking, and a prior model of this semantics. Many problems involve a semantics of the form 'the volume in the world that projected to the region R in the image had parameters P', and thus models of regions, and models of images within regions, acquire great importance. My current research focuses on the construction of such models.


Lecture:

lecture
flag Shape modelling via higher-order active contours and phase fields
as author at  MUSCLE Conference joint with VITALAS Conference,
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