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August, Jonas

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Description: SCS RI Post-Doctoral fellow.
Geometry and uncertainty are coupled aspects of my interests in computer vision and medical imaging. On the one hand, we seek descriptions of the structures in the physical world in the language of differential geometry. On the other, our observations of this world come in the form of amorphous, noisy images, without the discrete structures we effortlessly call "objects".  I am interested in "organizing" images into such objects, and I use the tools of Markov processes and random fields to derive algorithms from first principles.  Not only are such ideas relevant for helping a roving robot deal with its environment or for understanding the neural architecture of the primary visual cortex in primates, but they can be exploited to improve medical image quality.  For example, I am exploring the use of probabilistic techniques for removing the often catastrophic "streaking artifacts" in X-ray CT scans.  In addition, by building in a model of the local geometry of curves, one can obtain vascular structures from low quality medical images.
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activated: 24-Apr-1985
last updated: 16-Sep-2010
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