Physiological studies have provided clear evidence of neurons sensitive to second-order motion, and first-order motion mechanisms are blind to second-order motion. In this paper, we propose a computational simulation ...
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ISBN:
(纸本)9780819469502
Physiological studies have provided clear evidence of neurons sensitive to second-order motion, and first-order motion mechanisms are blind to second-order motion. In this paper, we propose a computational simulation of second order motion perception, which bases on energy-based detector with a preceded nonlinear process called texture grabber. Generally, a texture grabber consists of a linear spatial filter, a linear temporal filter and a nonlinear transform, such as full-wave rectification. Here Difference of Gaussians (DoG) functions are used as the spatial filters, and Difference of Gammas (DoGamma) functions are chosen as the temporal filters. A series of experiments are computed and the results confirm that our motion perception system detects second-order motion correctly.
Gaussian mixture model is a popular method to model dynamic scenes viewed by a fixed camera. However, we found that it is not a trivial problem for each component of Gaussian mixture to learn the accurate parameters f...
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ISBN:
(纸本)9780819469502
Gaussian mixture model is a popular method to model dynamic scenes viewed by a fixed camera. However, we found that it is not a trivial problem for each component of Gaussian mixture to learn the accurate parameters for complex pixels. Furthermore, traditional method of Gaussian mixture has to make a tradeoff between system stability and convergence rate. We developed a mechanism of double-layer Gaussian mixture model for moving object detection from dynamic scenes, which can improve the convergence rate without compromising the system stability. Additionally, temporal consistency of variances was taken into account to alleviate camouflage problems in the process of detection.
TiN films growing, Ti films as interlayers were prepared on AZ91C by CMP equipment. Surface topography, microstructure and hardness of the films were analyzed with high resolution SEM, X-ray EDS and CSM microcharacter...
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Electrical properties and phase structures of （Si＋N）-codoped Oe2Sb2Te5 （GST） for phase change memory are investigated to improve the memory performance. Compared to the films with N or Si dopants only in previous...
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Electrical properties and phase structures of （Si＋N）-codoped Oe2Sb2Te5 （GST） for phase change memory are investigated to improve the memory performance. Compared to the films with N or Si dopants only in previous reports, the （Si＋N）-doped GST has a remarkable improvement of crystalline resistivity of about 104mΩcm. The Fourier-transform infrared spectroscopy spectrum reveals the Si-N bonds formation in the film. X-ray diffraction patterns show that the grain size is reduced due to the crystallization inhibition of the amorphous GST by SiNx, which results in higher crystalline resistivity. This is very useful to reduce writing current for phase change memory applications.
A soft nano-imprint lithography (NIL) technology is approached to fabricate the pore arrays nanostructures. Experimental results reveal that the proposed process can fabricate highly ordered pore arrays with a low cos...
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Nano-lmprint Lithography (NIL) technology is presented to fabricate Carbon Nano-Tube (CNT) arrays for Field Emission (FE) and sensor devices by process control and optimization. Results reveal that the CNT arrays are ...
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A nano-imprint lithography (NIL) technology is approached to fabricate the organic hereo-structure of the photovoltaic (PV) device. Experimental results reveal that fabrication of PV devices can improve its power conv...
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The article elaborates a set of large-scale automation equipment, which is applicable to the reflector thin deposition of automobile illumination according to the work of our laboratory, and its experimental results a...
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