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MIT Electrical Engineering and Computer Science
EECS Event |
Tuesday, September 25, 2001
4:00 PM (reception following)
37-212
LIDS Colloquium
Abstract
In recent years, partial differential equations (PDE's) have become popular in a variety of image processing and computer vision applications. In this talk we discuss the use of PDE's derived from geometric variational constructs to address problems ranging from image denoising, image segmentation, multi-frame stereo surface reconstruction, image registration, and shape analysis. The PDE's utilized in these techniques include Laplace's equation, various parabolic nonlinear diffusion equations, as well as curve and surface evolution equations based on differential geometry. We will cover both previous work as well as work in progress, with a strong emphasis on medical image analysis.