2021 No. 2

Article
EEG emotion recognition based on linear kernel PCA and XGBoost
Dong Yindong, Ren Fuji, Li Chunbin
2021, 48(2): 200013. doi: 10.12086/oee.2021.200013
Abstract:
The principal component analysis of linear kernel and XGBoost models are introduced to design electroencephalogram (EEG) classification algorithm of four emotional states under continuous audio-visual stimulation. In order to reflect universality, the traditional power spectral density (PSD) is used...
RGB-D object recognition algorithm based on improved double stream convolution recursive neural network
Li Xun, Li Linpeng, Alexander Lazovik, Wang Wenjie, Wang Xiaohua
2021, 48(2): 200069. doi: 10.12086/oee.2021.200069
Abstract:
An algorithm (Re-CRNN) of image processing is proposed using RGB-D object recognition, which is improved based on a double stream convolutional recursive neural network, in order to improve the accuracy of object recognition. Re-CRNN combines RGB image with depth optical information, the double stre...
Research on multi-feature human pose model recognition based on one-shot learning
Li Guoyou, Li Chenguang, Wang Weijiang, Yang Mengqi, Hang Bingpeng
2021, 48(2): 200099. doi: 10.12086/oee.2021.200099
Abstract:
With the development of human-computer interaction, virtual reality, and other related fields, human posture recognition has become a hot research topic. Since the human body belongs to a non-rigid model and has time-varying characteristics, the accuracy and robustness of recognition are not ideal. ...
Polarization regulation characteristics of reflected waves at the interface of double topological insulators
Zhai Zhizhu, Wang Mingjun, Wu Biyuan
2021, 48(2): 200102. doi: 10.12086/oee.2021.200102
Abstract:
The property of reflective polarization on the surface of two 3D strong topological insulators was studied, obtaining the generalized necessary conditions required for the complete polarization conversion of linearly polarized light. By analyzing the reflectivity, cross reflectivity, and polarizatio...
Design and simulation of bionic compound eye with electrowetting liquid lens
Zhao Rui, Peng Chao, Zhang Kai, Kong Meimei, Chen Tao, Guan Jianfei, Liang Zhongcheng
2021, 48(2): 200120. doi: 10.12086/oee.2021.200120
Abstract:
To solve the problem that the bionic compound eye system can't zoom adaptively, a zoomable bionic compound eye system based on electrowetting-on-dielectric liquid lens cambered array is proposed. The influence of the system structure on the imaging performance is analyzed, and the adaptive zoom capa...
A B-spline based fast wavefront reconstruction algorithm
Chen Hao, Wei Ling, Li Ende, He Yi, Yang Jinsheng, Li Xiqi, Fan Xinlong, Yang Zeping, Zhang Yudong
2021, 48(2): 200160. doi: 10.12086/oee.2021.200160
Abstract:
Traditional schemes for Shack-Hartmann wavefront reconstruction can be classified into zonal and modal methods. The zonal methods are good at reconstructing the local details of the wavefront, but are sensitive to the noise in the slope data. The modal methods are much more robust to the noise, but ...
A weakly supervised learning method for vehicle identification code detection and recognition
Cao Zhi, Shang Lidan, Yin Dong
2021, 48(2): 200170. doi: 10.12086/oee.2021.200170
Abstract:
The vehicle identification code (VIN) is of great significance to the annual vehicle inspection. However, due to the lack of character-level annotations, it is impossible to perform the single-character style check on the VIN. To solve this problem, a single-character detection and recognition frame...
Target tracking algorithm based on YOLOv3 and ASMS
Lv Chen, Cheng Deqiang, Kou Qiqi, Zhuang Huandong, Li Haixiang
2021, 48(2): 200175. doi: 10.12086/oee.2021.200175
Abstract:
In order to solve the problem of loss when the target encounters occlusion or the speed is too fast during the automatic tracking process, a target tracking algorithm based on YOLOv3 and ASMS is proposed. Firstly, the target is detected by the YOLOv3 algorithm and the initial target area to be track...
A weakly supervised learning method for vehicle identification code detection and recognition
Cao Zhi, Shang Lidan, Yin Dong
2021, 48(2): 200270. doi: 10.12086/oee.2021.200270
Abstract:
The vehicle identification code (VIN) is of great significance to the annual vehicle inspection. However, due to the lack of character-level annotations, it is impossible to perform the single-character style check on the VIN. To solve this problem, a single-character detection and recognition frame...
Review
Research progress of electromagnetic properties of tunable chiral metasurfaces
Wang Jinjin, Zhu Qiuhao, Dong Jianfeng
2021, 48(2): 200218. doi: 10.12086/oee.2021.200218
Abstract:
Chiral metasurfaces are ultra-thin metamaterials composed of planar chiral cell structures with specific electromagnetic responses. They have attracted great attention due to their singular ability to control electromagnetic waves at will. With tunable materials incorporated into the metasurfaces de...
Light People
Light People: Professor Chennupati Jagadish
Wang Hui
2021, 10(2): 1146-1149. doi: 10.1038/s41377-021-00533-6
Abstract:
In 2018, the Indian film "Starting Line" focused the public's attention on the issue of education in India. It depicted the length some Indian parents were willing to go to secure educational resources for their children, as well as the difficulties faced by those disadvantaged in society in their f...
Reviews
Silicon/2D-material photodetectors: from near-infrared to mid-infrared
Liu Chaoyue, Guo Jingshu, Yu Laiwen, Li Jiang, Zhang Ming, Li Huan, Shi Yaocheng, Dai Daoxin
2021, 10(2): 1164-1184. doi: 10.1038/s41377-021-00551-4
Abstract:
Two-dimensional materials (2DMs) have been used widely in constructing photodetectors (PDs) because of their advantages in flexible integration and ultrabroad operation wavelength range. Specifically, 2DM PDs on silicon have attracted much attention because silicon microelectronics and silicon photo...
SPECIAL TOPIC—Machine learning and physics
Quantum state preparation and its prospects in quantum machine learning
Zhao Jian, Chen Zhao-Yun, Zhuang Xi-Ning, Xue Cheng, Wu Yu-Chun, Guo Guo-Ping
2021, 70(2): 140307. doi: 10.7498/aps.70.20210958
Abstract:
The development of traditional classic computers relies on the transistor structure of microchips, which develops in accordance with Moore's Law. In the future, as the distance between transistors approaches to the physical limit of manufacturing process, the development of computation capability of...