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Most literatures have been relying on image processing approaches such as skin detection and depth thresholding for hand detection. These techniques are restricted by strong assumptions and normally possess low robustness in actual applications. In this paper, we focus on an appearance approach and propose a new feature extraction method based on sparse pixel-pair wise intensity comparisons for hand...
Facial expression recognition (FER) is important for robots and computers to achieve natural interaction with human. Over the years, researchers have proposed different feature descriptors, implemented different classification methods, and carried out test experiments on different datasets in realizing an automatic FER system. While achieving good performance, the most efficient feature space and...
Coupled non-negative matrix factorization (CNMF) is introduced for hyperspectral and multispectral data fusion. The CNMF fused data have little spectral distortion while enhancing spatial resolution of all hyperspectral band images owing to its unmixing based algorithm. CNMF is applied to the synthetic dataset generated from real airborne hyperspectral data taken over pasture area. The spectral quality...
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