Automatic Identification of Portraits in Art Images Databases
نویسندگان
چکیده
We have developed a method for automatic identification of portraits in art images database. The method uses color, intensity and edge information to segment candidate regions. It fits an ellipse on the segmented candidate regions from which a set of features is extracted. Those features serve as input to a neural network which is trained to distinguish between face and non-face regions. Images containing face regions were classified as portrait images. The method was evaluated with ROC analysis on a set of 200 art images. The results show a sensitivity of 90% at 32% false positive rate and they are encouraging for the further development of this method.
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تاریخ انتشار 2003