Dr. Kimberly Moravec

Daphne Jackson Fellow
Department of Computer Science
Malet Place Engineering Building
University College London
London WC1E 6BT

phone: +44 (0)20 7679 0385 ext: 30385
mobile: 07949 711135
email: ...@cs.ucl.ac.uk

Kimberly has a BS in Electrical Engineering with a Minor in Mathematics from the University of Colorado at Boulder, and a PhD in Information Systems from the University of East Anglia. The title of her thesis was Scale Trees for Stereo Vision and investigated the use of morphological scale space features for dense stereo applications.

Until December 2003, she was employed at Xerox Research Centre Europe , where she worked as a research scientist on document image analysis. In June, 2009, she began a Daphne Jackson Fellowship in the Department of Computer Science at University College London.


K. Moravec and C. Dance.  "Method and apparatus for automatically determining image foreground colour" US Patent Number 7536048, 19 May 2009.

K. Moravec .  "A greyscale reader for Xerox Dataglyphs" Proceedings British Machine Vision Conference, pages 698-707, 2002

K. Moravec, R. Harvey and J. A. Bangham.  "Scale Trees for Stereo Vision".  IEE Proceedings-Vision Image and Signal Processing. 147(4) pages 363-375, 2000

K. Moravec, J. Ruiz-Hildago, R. Harvey, and J.A. Bangham. "Towards stereo from scale trees". in 7th International  Conference on Image Processing and Applications, volume 1, pages 52-56, 1999.

K. Moravec, R. Harvey, J.A. Bangham, and Mark Fisher. "Using an image tree to assist stereo matching". in International Conference on Image Processing, October 1999.

J.A. Bangham, K. Moravec, R. Harvey, and M. Fisher. "Scale-space trees and applications as fillers for stereo vision and image retrieval". In British Machine Vision Conf., volume 1, pages 113-122, 1999.

R. Harvey, K. Moravec, and J. A. Bangham. "Stereo vision via connected-set operators". In IX European Signal Processing Conference, volume 2, pages 613-616, 1998.

K. Moravec, R. Harvey, and J. A. Bangham. "Improving stereo performance in regions of low texture". In British Machine Vision Conference, volume 1, pages 822-831, 1998.