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Seminar Announcement
These events are organized by various sub-sets of the IEEE Toronto Section. The contact person listed below is the volunteer who has arranged this event. Please use the e-mail link provided if you have any questions, suggestions, or concerns.

Title Photo-realistic 3D Model Reconstruction
Speaker

Dr. Stephen Se
Senior Engineer
MDA Space Missions
Brampton, Ontario

Day and Time

Monday, March 10, 2008, 3:00 p.m. – 6:00 p.m.
*Refreshments will be served

Location Room RS 208
Rosebrugh Building
164 College Street - map - code RS
Toronto M5S 3G9
  • This location is 200m from the "Queen's Park" Subway Station
  • Public Parking on campus is on King's College Road (see brown shaded area on campus map)
Organizer Signals and Computational Intelligence Joint Chapter
Contact Bruno Di Stefano, E-mail:
Abstract

Photo-realistic 3D modeling is a challenging problem and has been a research topic for many years. Quick generation of photo-realistic three-dimensional calibrated models using a hand-held device is highly desirable for applications ranging from forensic investigation, mining, to mobile robotics.

A 3D imaging system called the instant Scene Modeler (iSM) is presented that can automatically create 3D models using a hand-held stereo camera. The user points the camera at the scene of interest and the system will create a photo-realistic 3D calibrated model automatically within minutes. Field tests in various applications have been carried out, including forensics, mining, military and rover exploration.

Biography

Stephen Se is with the Research and Development department at MDA Space Mission, developing computer vision systems for space and terrestrial applications. He received B.Eng. degree with first class honours in Computing at Imperial College of Science, Technology and Medicine, University of London in 1995 and a D.Phil. degree in the Robotics Research Group at the University of Oxford in 1999. He then worked as a post-doctoral researcher at the University of British Columbia (1999-2001) on vision-based mobile robot localization. His research interests include computer vision, mobile robotics, 3D modeling and artificial intelligence.

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