Seminar: Extraction of geometrical objects from images with MCMC methods

SpeakerVladimir Krylov
AffiliationUCL
DateFriday, 22 Mar 2013
Time12:30 - 14:00
LocationCruciform B404 - LT2
Event seriesDeepMind CSML Seminar Series
Description

Numerous image processing applications require automatic extraction of geometrical structure information: from lines in mammographic images (for cancer detection) to buildings and roads on satellite imagery (for coregistration and mapping). In this talk I am going to present several applications of conventional Markov Chain Monte Carlo (MCMC) and reversible jump MCMC to extraction of such geometrical structure from 2D images. More specifically, each of the extracted objects is modeled by a geometrical element (e.g., line segments, rectangles, circles, ellipses) whose location and parameters are adjusted throughout iterative MCMC process in order to accurately fit the data.

Dr. Vladimir Krylov is a Research Associate working with Dr. James Nelson in the Department of Statistical Science at UCL. His research interests are statistical image and signal processing, in particular pattern recognition in medical and remotely sensed imagery.

Slides for the talk: PDF

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