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We propose the Component Bio-Inspired Feature (CBIF) with a moving segmentation scheme for age estimation. The CBIF defines a superset for the commonly used Bio-Inspired Feature (BIF) with more parameters and flexibility in settings, resulting in features with abundant characteristics. An in-depth study is performed for the determination of the parameters good for capturing age-related traits. The...
Sparse sampling and sparse matrices are found to be able to substantially improve object tracking in videos. This paper reports a comparison study on state-of-the-art tracking algorithms, including MOSSE, FCT and CSK. While many consider generic tracking problems in which targets, mostly cars and humans, are moving in various settings, we consider motorcycles in this study, or more precisely the license...
Most photographer robots can only capture frontal-like faces, posing limitations on broader applications, especially when it is needed to capture non-frontal faces. We built a photographer robot with a multiview face detector embedded so that it can capture faces with a large range of poses. The core part of the multiview face detector is a state-of-the-art facial landmark model which can track facial...
Most RGB-D-based research focuses on scene reconstruction, gesture analysis, and simultaneous localization and mapping, but only a few study its impacts on face recognition. A common yet challenging scenario considered in face recognition takes a single 2D face of frontal pose as the gallery and other poses as the probe set. We consider a similar scenario but with an RGB-D image pair taken at frontal...
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