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In this letter, we present a random cascaded-regression copse (R-CR-C) for robust facial landmark detection. Its key innovations include a new parallel cascade structure design, and an adaptive scheme for scale-invariant shape update and local feature extraction. Evaluation on two challenging benchmarks shows the superiority of the proposed algorithm to state-of-the-art methods.
When the fused variables are independent or the statistics of variables are known perfectly, Kalman filter is rigorous and yields minimum mean squared error estimate. But in most situations, it is impossible to guarantee that the fused variables are independent and even might be highly correlated. In that case, it is possible to "over estimate" the statistics. CI algorithm can achieve a...
Based on the ZigBee wireless network, a park lighting control and child location tracking system is designed in this paper. Considering that there may be a number of children that needs to be tracked concurrently, distributed localization is needed, so an improved RSSI-based algorithm is introduced in this paper. As a goal of our system, the new method, unlike commercial digital-hardware-block based...
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