In this paper we address the task of segmentation of objects from photographs. A method of extraction of features based on the zero-crossings of a wavelet transform is described. The wavelet transform basis functions are derived from the second derivative of a gaussian function. The extracted features are then used in a rnultilevel hypothesis generate and test algorithm to locate the objects of interest. The matching algorithm is based on the springs and templates framework of Fischler and Eschlanger [l]. The zero-crossings of the wa.velet coefficients at different scales are combined in the model-matching stage to generate possible candidates. We apply this method to segment human faces fro" newspaper photographs.

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