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Sensors are being widely used in many industrial practices and contain rich information which can be analyzed to detect system anomalies. The outputs of sensors are time-ordered data known as waveform signals, which are also called profiles. Many monitoring methods only focus on a single profile. However, multiple profiles are recorded by different sensor channels in many processes. It is crucial...
We present a modified feature point descriptor (M-BRIEF) based on Binary Robust Independent Elementary Features (BRIEF). BRIEF is much faster both to build and to match than SIFT and SURF, and it yields a better recognition as well. However, the matching results are not robust when the viewpoint changes obviously. In our paper, M-BRIEF automatically adjusts the coordinates of the image patch according...
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...
The visualization of medical volumetric data is an important area of scientific visualization. 3-D segmentation plays a critical role by facilitating automatic or semi-automatic extraction of the anatomical organ or region-of-interest. Segmentation s an important aspect of medical image processing, whose purpose is to extract the region of interest from the original images to provide a reliable basis...
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