Space Curve Representation and Recognition Based on Wavelet Transform Zero-Crossings

Abstract

A method to construct a representation of space curves based on the zero-crossings of the dyadic wavelet transform is introduced. The principal axes of inertia of these space curves, referred to as objects, are considered as the reference system. The representation is translation, rotation and size invariant. Instances of objects in images are recognised by matching their representations with those of the models. A string-matching technique is adapted and used for this purpose. Experimental results show that the representation is robust and efficient in extracting and matching object information.