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Evaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods.Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Face datasets are considered a primary tool for evaluating the efficacy of face recognition methods. Here we show that in many of the commonly used face datasets, face images can be recognized accurately at a rate significantly higher than random even when no face, hair or clothes features appear in the image. The experiments were done by cutting a small background area from each face image, so that each face dataset provided a new image dataset which included only seemingly blank images. Then, an image classification method was used in order to check the classification accuracy. Experimental results show that the clas...
Source: International Journal of Computer Vision - November 2, 2008 Category: Information Technology Authors: Shamir L Tags: Int J Comput Vis Source Type: journals