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Department of Statistics
Texas A&M University
STATISTICS COLLOQUIUM
DEPARTMENT OF STATISTICS
Texas A&M University
Daniel Walsh
Department of Statistics
University of Washington
Importance Sampling and the Hough Transform
ABSTRACT: The Hough transform is a well known technique for curve detection in images. We place a particular group of Hough transform (probabilistic Hough transforms) in the framework of importance sampling. Using this framework we identify two areas where probabilistic Hough transforms can be improved, namely: (i) specifying a target distribution and re-weighting the sampled parameters to make identification of curves easier, and (ii) using an adaptive sampling scheme to make probabilistic Hough transforms more efficient. We outline an algorithm for implementing these ideas and present experimental results. We also show how other probabilistic Hough transforms fit into the importance sampling framework.
| DATE: | Tuesday, February 8, 2000 | |
| TIME: | 4:00 p.m.-5:00 p.m. | |
| PLACE: | Room 448, Blocker |
Refreshments will be served in the Blocker Building, Room 447, at 3:30 p.m.
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