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Satellite telemetry of meteorological satellite plays an important role for satellite safety management. In existing system, threshold value is used to monitor the abnormity because of large volumes of data which is collected every three seconds. However, the abnormal data in the threshold range cannot be detected timely. Based on this, in the paper we introduce Principle Component Analysis (PCA)...
Based on fitting the Local Binary Patterns (LBP) histogram into the bag-of-words paradigm, we propose an LBP variant termed Principal Local Binary Patterns (PLBP) which are learned in an unsupervised way from the data. The learning problem turns out to be the same as the Principal Component Analysis (PCA) and thus can be solved very efficiently. Unlike the manually specified patterns in LBP which...
AdaBoost based training method has become a state-of-the-art boosting approach in face detection system. In this paper, compared to the naive AdaBoost method, Forward Feature Selection (FFS) method is used in feature selection to reduce the training time by about 50 to 100 times without loss of performance. Furthermore, hierarchical feature spaces (both local and global) to construct a detector cascade...
Gabor feature extracted by Gabor wavelet is widely used in face recognition and proved efficiency. But the dimension of the Gabor feature vector is so high that makes it very hardly to compute and store the feature directly in practice. Some methods are proposed to reduce the dimension of Gabor feature in literature. A new method to select the key points in face image is proposed in this paper, and...
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