Inter-image outliers and their application to image classification

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• 作者：Alex Pappachen James ; Sima Dimitrijev
• 关键词：Outliers ; Image recognition ; Template matching
• 刊名：Pattern Recognition
• 出版年：2010
• 出版时间：December 2010
• 年：2010
• 卷：43
• 期：12
• 页码：4101-4112
• 全文大小：1430 K

文摘

Image variability that is impossible or difficult to restore by intra-image processing, such as the variability caused by occlusions, significantly reduces the performance of image-recognition methods. To address this issue, we propose that the pixels associated with large distances obtained by inter-image pixel-by-pixels comparisons should be considered as inter-image outliers and should be removed from the similarity calculation used for the image classification. When this method is combined with the template-matching method for image recognition, it leads to state-of-the-art recognition performance: 91 % with AR database that includes occluded face images, 90 % with PUT database that includes pose variations of face images and 100 % with EYale B database that includes images with large illumination variation.