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Facial images embed age, gender, and other rich information that is implicitly related to occupation. In this work, we advocate that occupation prediction from a single facial image is a doable research direction. We first extract visual features from multiple levels of patches and describe them by locality-constrained linear coding. To avoid the curse of dimensionality and over fitting, a boost strategy...
In this paper, a vision-based optical fiber alignment motion stage powered by piezo-actuator (PEA) is developed. However, the tracking performance of PEA is limited due to its inherent hysteretic nonlinearity and time varying parameters. In order to cope with this problem, a novel feedforward inverse hysteresis model based on B-spline approximation is adopted to eliminate the adverse effects due to...
Automatic optical fiber alignment is the key to reducing the cost of the packaging process for the manufacturing of fiber-optic devices. This paper develops a vision-based active optical fiber alignment technique for coarse positioning using a piezoactuated moving platform that is controlled to reduce the alignment difference to within a certain degree. To overcome the adverse effect of the delay...
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