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Matching Short Wave InfraRed (SWIR) face images against a face gallery of color images is a very challenging task. The photometric properties of images in these two spectral bands are highly distinct. This work presents a new cross-spectral face recognition method that encodes both magnitude and phase of responses of a classic bank of Gabor filters applied to multi-spectral face images. Three local...
Face recognition in real-world applications is often hindered by uncontrolled settings including pose, expression, and illumination changes, and/or ageing. Additional challenges related to changes in facial appearance due to plastic surgery have become apparent recently. We exploit the fact that plastic surgery bears on appearance in a non-uniform fashion using a recognition approach that integrates...
Sparse representation for face recognition has been exploited in past years. Several sparse representation algorithms have been developed. In this paper, a novel eyeglasses-face recognition approach, SEMD Based Sparse Gabor Representation, is proposed. Firstly, for a robust representation to misalignment, a sparse Gabor representation is proposed. Secondly, spatially constrained earth mover’s distance...
Face images obtained by an outdoor surveillance camera, are often confronted with severe degradations (e.g., low-resolution, low-contrast, blur and noise). This significantly limits the performance of face recognition (FR) systems. This paper presents a framework to overcome the degradation in images obtained by an outdoor surveillance camera, to improve the performance of FR. We have defined a measure...
A novel image-level fusion algorithm is proposed for 3D face recognition, which synthesizes an integrate image from both 2D intensity and 3D depth images. Due to the same descriptors in 2D and 3D domain, the image combination not only maintains facial intrinsic details to the utmost extent, but also provides more distinctive features. Also as the result of image recognition, the low efficiency of...
Automatic facial expression analysis is the most commonly studied aspect of behavior understanding and human-computer interface. Most facial expression recognition systems are implemented with general expression models. However, the same facial expression may vary differently across humans, this can be true even for the same person when the expression is displayed in different contexts. These factors...
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