Experimental Study of Translation-Invariant DWT Face Feature Estimation
نویسندگان
چکیده
In this paper, we conduct a series of experiments to evaluate the translation invariant property of a set of discrete wavelet features in a face graph. Using local-area power spectrum estimation based on discrete wavelet transform, we compute a feature vector that possesses both efficient space-frequency structure and translation invariant properties.
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ورودعنوان ژورنال:
- IJWMIP
دوره 2 شماره
صفحات -
تاریخ انتشار 2004