Identification of Partially Obscured Objects in two Dimensions by Matching of Noisy 'characteristic Curves, '

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In this pioneering work, Schwartz and Sharir present a groundbreaking approach to the problem of object recognition in real-world situations. Drawing on insights from computational geometry, their algorithms are able to identify partially obscured objects with a high degree of accuracy. This book is essential reading for anyone interested in the science of perception and pattern recognition.