ITEE seminar: Ben Appleton, 11.00AM, Tue 18 Nov 2003

Globally optimal surfaces by continuous maximal flows

Speaker: Ben Appleton, ITEE

When: 11.00AM, Tuesday 18 Nov 2003

Venue: 78-420

Host: A/Prof Brian C. Lovell

Abstract:

  In this work we solve the problem of computing continuous optimal
  curves and surfaces for image segmentation and 3D reconstruction,
  using a maximal flow approach expressed by means of a PDE
  model. Previously existing techniques yield either grid-biased
  (graph-based approaches) or sub-optimal answers (active contours and
  surfaces). The proposed algorithm simulates the flow of an ideal
  fluid with spatially varying velocity constraint. A proof is given
  that the algorithm gives the globally maximal flow at convergence,
  along with an implementation method. The globally minimal surface
  may be obtained trivially from its output. The new algorithm is
  applied to segmentation in 2D and 3D medical images and to 3D
  reconstruction from a stereo image pair. The results in 2D agree
  remarkably well with an existing planar minimal surface algorithm
  and the results in 3D segmentation and reconstruction demonstrate
  that the new algorithm does not exhibit grid bias.

Biography:

 
  Ben Appleton is a PhD Candidate in the Intelligent Real-Time Imaging
  and Sensing Group within the EMI Research Division of ITEE

Type:

Iris Seminar Series

Contact:

A/Prof Brian C. Lovell, seminar host (lovell@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator) (guido@itee.uq.edu.au)

ITEE seminar web page: http://www.itee.uq.edu.au/~seminar

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