Gauri Tulsulkar
ABSTRACT
In spite of the extensive research that has been performed on age detection with a single face image, little attention has been paid to younger face recognition given an image pair. Our paper addresses the problem by proposing a perceptual flow extraction algorithm, followed by a CNN based transfer learning for the recognition purpose. In particular, our algorithm first employs just noticeable difference scheme for filtering face images, so that the noise that cannot be perceived by the human visual system is reduced. Then, by fusing Laplacian stacks into our flow approximation framework, the estimated perceptual flow is able to capture features at multiple scales. Due to the lack of data and the difficulty of collecting and annotating face image pairs, we have also introduced a dataset based on the UTKFace dataset for the purpose. Experiments demonstrate the effectiveness of our approach.
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Digital Library
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