U L F G R E N A N D E R





 

R E S E A R C H I N T E R E S T S




Brain anatomy, a subset of digital anatomy, at the moment plays a major role in my research. Digital anatomy in general, and brain anatomy in particular, is intended to represent and process anatomical patterns in 3D observed with CT, MR, and PET, as well as to facilitate automatic recognition and component measurement of said anatomies.




Automatic target detection/recognition (ATR) is another topic of interest. The research primarily involves developing jump-diffusion algorithms for pattern inference based on knowledge about the vehicle dynamics and the physics of the sensors.




Computer vision can be studied from the pattern theory perspective, shape modeling in particular. In this approach templates are deformed by Lie groups of transformations.




Natural language lends itself nicely for representation by stochastic models. Our focus is on mathematical representations of colloquial language. Of special interest to us are connector graphs with cycles.




Non-numeric pattern theory for representing knowledge about history, literature, social systems.




A selection of Matlab files related to computer vision are included in the gzipped tar file seeing.tar.gz or you can browse the files individually.




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Brown University
Division of Applied Mathematics
182 George Street
Providence, RI 02912

ulf-grenander@cox.net