The Robotics Institute

RI | Seminar | April 23

Robotics Institute Seminar, April 23
Time and Place | Seminar Abstract | Speaker Biography | Speaker Appointments

Visual Recognition from Invariant Local Features

David Lowe

Computer Science Department

University of British Columbia




Time and Place

Mauldin Auditorium (NSH 1305)
Refreshments 3:15 pm
Talk 3:30 pm



Within the past few years, new methods for identifying invariant local features in images have provided successful solutions to a range of recognition and image matching problems.  For recognition applications, it has proved particularly important to develop features that are distinctive as well as invariant, so that a single feature can be used to index into a large database of features from previous images.  Robust recognition can then be achieved by identifying clusters of features using a Hough transform and detailed model fitting.  In addition to describing the invariant feature approach, some recent applications will be presented, including location recognition and the detection of image panoramas from unordered sets of images.  A demo will be given of a system that can recognize objects at near real-time speeds.



Speaker Biography

David Lowe is a professor of computer science at the University of British Columbia in Vancouver, Canada.  He received his Ph.D. in computer science from Stanford University in 1984.  His research interests include object recognition, local invariant features for image matching, machine learning for recognition, robot localization, and models of human visual recognition.  He is on the Editorial Board of the International Journal of Computer Vision and was co-chair of ICCV 2001 in Vancouver, Canada.




Speaker Appointments

For appointments, please contact Monica Hopes.


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.