This workshop will be an intensive two-day workshop concentrating on current approaches to image analysis, including harmonic analysis, statistical modeling,
mathematical techniques of perceptual organization, and variational methods. It will bring together advanced graduate students, recent postdocs and established mathematicians, and is intended to lead into the
Introductory Workshop in Mathematical, Computational and Statistical Aspects of Image Analysis .


Program Schedule

Friday, January 21st

Morning Session
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9:30 - 9:45 Workshop Opening and Introduction (J. Kosecka)
9:45 - 10:30 Image Analysis: History and Relation to other disciplines (R. Bajcsy)
10:30 - 10:45 Examples, motivation (K. Leonard)
10:45 - 11:00 Coffee break
11:00 - 11:45 Image transforms (Fourier, DCT), Multiscale and Harmonic Analysis,
Wavelet Transform (K. Leonard, J. Kosecka)
11:45 - 12:30 Image Contours, PDE's and Anisotropic Diffusion (K. Leonard, J. Kosecka)
12:30 - 2:00 pm Lunch and informal introductions

Afternoon Session
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2:15 - 3:00 Ill-posed problems in image analysis: Statistical and numerical techniques (D. Calvetti)
3:00 - 3:45 Integrated Active Contours for Texture Segmentation (C. Sagiv)
3:45 - 4:00 Coffee break
4:00 - 5:00 Carrier advancement panel/discussion (R. Bajcsy, J. Gille, D. Calvetti)
Dinner (tba)

Saturday, January 22nd

Morning Session
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9:30 - 10:15 Feature detection, feature descriptors, matching, warping (J. Kosecka)
10:15 - 11:00 Variatonal Methods for Image Denoising (J. Carter)
11:00 - 11:15 Coffee break
11:15 - 12:00 Shape representations, metrics and matching (K. Leonard)
12:00 - 12:30 Motivating problems and applications (J. Kosecka)

Lunch 12:30 - 2pm

Afternoon Session
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2:00 - 2:45 Image segmentation in medical imaging (R. Bajcsy)
2:45 - 3:30 Segmentation of Natural Scenes - Graph-Cut Approaches (S. Yu).
3:30 - 3:45 Coffee break
4:00 - 5:00pm Balancing Professional and Family life

Dinner (tba)

Funding

Important