Zero crossings of a non-orthogonal wavelet transform for object location

Authors:
M. Venkatraman;V. Govindaraju
Affiliations:
-;-
Venue:
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Year:
1995

Citing 0
Cited 2

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Abstract

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 multilevel 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 (1973). The zero-crossings of the wavelet coefficients at different scales are combined in the model-matching stage to generate possible candidates. We apply this method to segment human faces from newspaper photographs.