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30 results on '"Hou, Peiguo"'

5. Projection image edge fusion method based on B-spline curve

Author

QI Jihui, Song Tao, Zhao Mingyu, Hou Peiguo, and Li Kun

Subjects
Physics, Brightness, Projection screen, Pixel, Channel (digital image), business.industry, Peak signal-to-noise ratio, Atomic and Molecular Physics, and Optics, law.invention, Optics, Projector, law, Gamma correction, business, Projection (set theory)
Abstract

In order to accurately adjust the brightness of the overlapping area of multi-channel projection images, a projection image edge fusion method based on B-spline curve was designed. Firstly, the parameters of attenuation function and gamma correction were set according to the projection screen, external light environment and the nature of the projector itself. Then, the overlap area of the projection image was acquired by the camera and the color intensity of each pixel was calculated, and the peak signal-to-noise ratio was calculated by the ideal value. Then, the correction accuracy and flexibility of quadratic B-spline curve and cubic B-spline curve were compared. Finally, the edge brightness of the projection image was optimized by cubic B-spline until the peak signal-to-noise ratio reached the standard value. The experimental results show that the peak signal-to-noise ratio of the channel R in the overlapped area of the projection image is increased by 9.13 dB, that of the channel G by 6.09 dB, and that of the channel B by 7.53 dB. The edge brightness optimization technology of projection image based on B-spline curve improves the accuracy of brightness adjustment in overlapping area of projection image.

Published
2021

8. 一种快速加权迭代位姿估计法

Author

刘晨阳 Liu Chenyang, 郑龙江 Zheng Longjiang, and 侯培国 Hou Peiguo

Subjects
Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics
Published
2022

9. An extended car-following model based on visual angle and backward looking effect

Author

Yan Chen, Yu Hanwei, Hong Jiayang, and Hou Peiguo

Subjects
Computer science, media_common.quotation_subject, General Physics and Astronomy, Traffic flow, 01 natural sciences, Stability (probability), Asymmetry, 010305 fluids & plasmas, Traffic congestion, Control theory, 0103 physical sciences, Line (geometry), Head (vessel), Sensitivity (control systems), Visual angle, 010306 general physics, media_common
Abstract

By introducing driver's visual angle and backward looking effect into the full velocity difference model (FVDM), this paper proposes an extended car-following model. Through linear stability analysis and simulation analysis, the paper gets following conclusions: First of all, the neutral stability line of the extended model is asymmetry. Secondly, the stability of traffic flow is influenced by the width of the leading vehicle, the length of the following-car's head and the vertical distance from driver's eyes to vehicle's head. Thirdly, driver pay close attention to the rear vehicle can strengthen traffic flow, and driver's sensitivity of visual angle will influence the stability of traffic flow. Finally, the extended model can explain some complex nature of traffic phenomena and makes the car-following model more realistic.

Published
2017

30. [Single trial classification of motor imagery electroencephalogram based on Fisher criterion].

Author

Fu R, Hou P, and Li M

Abstract

In order to realize brain-computer interface (BCI), optimal features of single trail motor imagery electroencephalogram (EEG) were extracted and classified. Mu rhythm of EEG was obtained by preprocessing, and the features were optimized by spatial filtering, which are estimated from a set of data by method of common spatial pattern. Classification decision can be made by Fisher criterion, and classification performance can be evaluated by cross validation and receiver operating characteristic (ROC) curve. Optimal feature dimension determination projected by spatial filter was discussed deeply in cross-validation way. The experimental results show that the high discriminate accuracy can be guaranteed, meanwhile the program running speed is improved. Motor imagery intention classification based on optimized EEG feature provides difference of states and simplifies the recognition processing, which offers a new method for the research of intention recognition.

Published
2018
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