ITEE Ph.D confirmation seminar: Carlos Leung, 11.00AM, Tue 08 Apr 2003

3D Dynamic Scene Reconstruction from Multi-View Image Sequences

Speaker: Carlos Leung, ITEE

When: 11.00AM, Tuesday 08 Apr 2003

Venue: 78-622

Host: A/Prof Brian Lovell

Abstract:

  The task of computer vision and image processing is to be able to
  bring sight to the computer and provide it with vision analysis.
  Being able to restore the depth information of an image and recreate
  the original 3D scene from images alone have many applications in
  computer vision.  The reconstruction of a dynamic, complex 3D scene
  from multiple images has been an old and challenging problem.  While
  numerous studies have been conducted on various aspects of this
  general problem, such as the recovery of the epipolar geometry
  between two stereo images, the calibration of multiple camera views,
  stereo reconstruction by solving the correspondence problem, the
  modelling of occlusions, and the fusion of stereo and motion, little
  has yet been done to produce a unified framework to solve the
  general reconstruction problem.

  In recent years, a new method for 3D reconstruction has been
  introduced.  Rather than solving the typical correspondence problem
  in stereo analysis, reconstruction is achieved through volumetric
  scene modelling.  Kutulakos and Seitz introduced the Space Carving
  Algorithm aimed at solving the N-view shape recovery problem.  The
  computed photo hull is determined by computing the photo-consistency
  of each voxel through projections onto each available image.
  However, while these approaches have produced excellent outcomes,
  apart from the fact that they require a vast number of input images,
  improvements can still be made by imposing spatial coherence,
  replacing the voxel-based analysis with a surface orientated
  technique.  The goal of this work is to research into more accurate
  and efficient methods to reconstruct 3D scenes by developing new
  approaches which combines the advantages of surface evolution and
  volumetric scene modelling techniques.
 
  Furthermore, while numerous studies have been conducted to
  reconstruct 3D scenes from multiple images, little work has been
  done in dynamic 3D scene reconstruction from a set of multiple view
  image sequences.  We propose an alternative view to the stereo and
  motion analysis of stereo rigs, by introducing the design of a 4D
  voxel volume which aims to recover the 3D structure and the motion
  in the scene through volumetric modelling techniques.  By augmenting
  the design of our 3D voxel feature volume to a 4-D feature space, a
  novel formulation of the stereo motion problem is proposed for the
  analysis of multi-view image sequences.

Biography:

  Carlos Leung received his bachelors degree in Electrical Engineering
  from the University of Queensland in 2001.  He is currently
  undertaking a PhD in the field of Computer Vision and Image Analysis
  at the University of Queensland.  His research interests include 3D
  reconstruction and stereo motion.

Type:

Ph.D confirmation

Contact:

A/Prof Brian 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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