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Olga Veksler is a researcher at the University of Waterloo, known for her work in developing robust and efficient algorithms that automatically interpret visual information. Her research interests include visual correspondence in stereo and motion, as well as image segmentation. Veksler emphasizes the application of optimization techniques, which are fundamentally important in solving computer vision problems. She finds graph algorithms and dynamic programming particularly useful for efficiently tackling optimization issues that arise within the field of vision. Her work has been supported by various funding bodies including the Natural Sciences and Engineering Research Council of Canada through their Discovery Accelerator Supplements and grants, the Canada Foundation for Innovation's New Opportunities Fund, and the Ministry of Research and Innovation's Early Researcher Award.
University of Waterloo • Waterloo, ON
Conducts research in computer vision and develops algorithms for visual information interpretation.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.