EECS CSPL SEMINAR SERIES
FALL TERM 1995


Sridhar Lakshmanan

Sridhar Lakshmanan

Department of ECS

University of Michigan - Dearborn Campus



December 5, 1995


Recovering Structured Information from Images

Abstract -
This talk will address the problem of recovering structured visual information from imperfect images. Several examples of this problem will be given. These examples arise from the need to develop enabling technologies for use in automotive driving assistance, aircraft landing guidance, highway traffic maintainence, and image database query systems.

The problem is tackled under a Bayesian paradigm that involves deformable template shape models, Markov random field feature models, and multi-resolution optimization algorithms. Extensive experimental results that illustrate the performance of the method will be presented.



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