Representation and modeling for image analysis

Master

In Maynard (USA)

Price on request

Description

  • Type

    Master

  • Location

    Maynard (USA)

  • Start date

    Different dates available

Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques extract the information from images to instantiate the representation for the particular objects present in the scene. In this seminar, we will discuss popular representations (such as contours, level sets, deformation fields) and useful methods that allow us to extract and manipulate image information, including manifold fitting, markov random fields, expectation maximization, clustering and others.

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Location

Start date

Maynard (USA)
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02139

Start date

Different dates availableEnrolment now open

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Subjects

  • Image

Course programme

Lectures: 2 sessions / week, 1.5 hour / session


This reading seminar aims to build up the mathematical background necessary to read papers and follow modern research in computer vision, as well as to improve communication skills, such as presenting research work, reviewing papers, surveying a field.


Everyone participating in the class must read the papers and come to class with questions on the assigned paper and on how it relates to other methods that attempt to solve the same problem.


Everyone will also be expected to present one or two papers during the semester and lead the discussion after the presentation.


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Representation and modeling for image analysis

Price on request