Eye localization from thermal infrared images
Pattern Recognition
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In this paper the problem of eye detection across three different bands, i.e., the visible, multispectral, and short wave infrared (SWIR), is studied in order to illustrate the advantages and limitations of multi-band eye localization. The contributions of this work are two-fold. First, a multi-band database of 30 subjects is assembled and used to illustrate the challenges associated with the problem. Second, a set of experiments is performed in order to demonstrate the possibility for multi-band eye detection. Experiments show that the eyes on face images captured under different bands can be detected with promising results. Finally, we illustrate that recognition performance in all studied bands is favorably affected by the geometric normalization of raw face images that is based on our proposed detection methodology. To the best of our knowledge this is the first time that this problem is being investigated in the open literature in the context of human eye localization across different bands.