Tuesday, March 15, 2016 - 9:00am - 10:00am
Allen Tannenbaum (State University of New York, Stony Brook (SUNY))
In this talk, we will review some key inverse problems in medical imaging and vision, in particular, segmentation and registration. The approach will be via energy minimization through the calculus of variations as well Bayesian. We will also show how these techniques made be made interactive through the use of feedback. This will allow us to make contact with ideas from distributed parameter systems. All of the techniques will be illustrated through some real medical imagery including MRI and CT data.
Friday, March 11, 2011 - 9:00am - 10:00am
Antoni Buades (Université de Paris V (René Descartes))
The accumulation of photon impacts on a surface is the essence of photography. We will investigate the use of acumulation for both image and video fusion/restoration. Registration and patch based methods will be compared for several applications.
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