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Facial Feature Extraction Based on Weighted ALW and Pulse-Coupled Neural Network
Junhua Liang,Zhisheng Zhao,Xiao Zhang,Xuan Wang,Yang Liu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8
In order to improve the robustness of face identification with the changes of illumina-tion, expression and facial alteration, a new facial feature extraction algorithm based on weighted adaptive lifting wavelet(ALW) scheme and pulse-coupled neural network (PCNN) is involved in this paper. The face images are decomposed into several subbands by weighted adaptive lifting scheme. Then the PCNN is utilized to decompose each weighted subbands into a series of binary images, the entropies of which are calculated and regarded as facial features. Experimental results show that the method yields a good robustness against the illumination, expression and facial variability and reduces the computer burden.
Qiu, Jijun,Weng, Binbin,Zhao, Lihua,Chang, Caleb,Shi, Zhisheng,Li, Xiaomin,Kim, Hyung-Kook,Hwang, Yoon-Hwae Hindawi Limited 2014 Journal of nanomaterials Vol.2014 No.-
<P>Flower-like bundles of ZnO nanosheets have been prepared by using preheating hydrothermal process without any surfactants. The flower-like bundles consist of many thin and uniform hexagonal-structured ZnO nanosheets, with a thickness of 50 nm. The selected area electronic diffraction (SAED) and high-resolution transmission electron microscope (HRTEM) images indicate that the ZnO nanosheets are single crystal in nature. The growth mechanism of the flower-like bundles of ZnO nanosheets is discussed based on the morphology evolution with growth times and reaction conditions. It is believed that the formation of flower-like bundles of ZnO nanosheets is related to the shielding effect of OH<SUP>−</SUP>ions and the self-assembly process, which is dominated by a preheating time. Room temperature photoluminescence spectra results show that the annealing atmosphere strongly affects the visible emission band, which is sensitive to intrinsic and surface defects, especially oxygen interstitials, in flower-like bundles of ZnO nanosheets.</P>