Technical Report CIS9706

Title: Ground from Figure Discrimination
Authors: Arnon Amir and Michael Lindenbaum
Abstract: This paper proposes a new, efficient, figure from ground method. At every stage the data features are classified to either "background" or "unknown yet" classs, thus emphasizing the background detection task and implying the paper title. A bootstrap mechanism improves performance in very cluttered scenes. A fast implementation using a kd-tree allows to work on large, realistic images. We demonstrate the effectiveness of the proposed methods on three examples from different domains.
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