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We present a method for quantifying and localising changes in two facial scans of the same person taken at two different time instants. The method is based on rigid registration and semantic feature extraction, followed by discrepancy computation. The proposed method combines the Landmark Transform (LT) method, which is applied on semantic feature points, and the Iterative Closest Point (ICP) algorithm,...
Pseudo-semantic labeling is a novel approach to organize mobile multimedia content such as images and videos. We have developed low-complexity algorithms to derive labels, such as "indoor/outdoor", "face/not face", that can be run on the mobile device. "Indoor/outdoor" classification is done based on the presence of sky in the images. Skin like pixels are detected based...
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