An Octave-Bandwidth Half Maxwell Fish-Eye Lens Antenna Using Three-Dimensional Gradient-Index Fractal Metamaterials

2014 ◽  
Vol 62 (9) ◽  
pp. 4823-4828 ◽  
Author(s):  
He-Xiu Xu ◽  
Guang-Ming Wang ◽  
Zui Tao ◽  
Tong Cai
2012 ◽  
Vol 60 (1) ◽  
pp. 398-401 ◽  
Author(s):  
Zhong Lei Mei ◽  
Jing Bai ◽  
Tiao Ming Niu ◽  
Tie Jun Cui

2016 ◽  
Vol 25 (10) ◽  
pp. 104301 ◽  
Author(s):  
Bao-guo Yuan ◽  
Ye Tian ◽  
Ying Cheng ◽  
Xiao-jun Liu
Keyword(s):  
Eye Lens ◽  

2006 ◽  
Vol 42 (5) ◽  
pp. 261 ◽  
Author(s):  
B. Fuchs ◽  
O. Lafond ◽  
S. Rondineau ◽  
M. Himdi ◽  
L. Le Coq
Keyword(s):  
Eye Lens ◽  

2015 ◽  
Vol 63 (8) ◽  
pp. 3742-3747 ◽  
Author(s):  
Yan Shi ◽  
Ke Li ◽  
Jing Wang ◽  
Long Li ◽  
Chang-Hong Liang
Keyword(s):  
Eye Lens ◽  

2014 ◽  
Vol 13 ◽  
pp. 365-368 ◽  
Author(s):  
Ming Huang ◽  
Shiwen Yang ◽  
Fei Gao ◽  
Ryan Quarfoth ◽  
Daniel Sievenpiper

2006 ◽  
Vol 18 (4) ◽  
pp. 504-510 ◽  
Author(s):  
Minoru Hashimoto ◽  
◽  
Daisuke Morooka ◽  

We propose robotic facial expression using a curved surface display. An image of the robot’s face is displayed on a curved screen to form a facial expression easily compared to other mechanical facial expression. The curved surface gives the face a three-dimensional effect due to not possible using a plane image. The curved surface display consists of a domed screen, a fish-eye lens, and a projector. The face robot has a neck to move the head. We detail the domed display, compensation for image distortion, and the drawing of shadow images indicating the direction of a light source. The facial expression is animated and the head moves using the neck conducted. Experiments confirmed the effectiveness of our proposal.


Author(s):  
Abdallah Dhouibi ◽  
Shah Nawaz Burokur ◽  
Andre de Lustrac ◽  
Alain Priou
Keyword(s):  
Eye Lens ◽  

2002 ◽  
Vol 30 (12) ◽  
pp. 731-736
Author(s):  
Fumio OKANO ◽  
Jun ARAI ◽  
Makoto OKUI

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2776
Author(s):  
Kang Hyeok Choi ◽  
Changjae Kim

The fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a self-calibration procedure. This paper proposes a new type of test-bed (the AV-type test-bed) that can effect a balanced distribution of image points and a low level of correlation between orientation parameters. The effectiveness of the proposed test-bed in the process of camera self-calibration was verified through the analysis of experimental results from both a simulation and real datasets. In the simulation experiments, the self-calibration procedures were performed using the proposed test-bed, four different projection models, and five different datasets. For all of the cases, the Root Mean Square residuals (RMS-residuals) of the experiments were lower than one-half pixel. The real experiments, meanwhile, were carried out using two different cameras and five different datasets. These results showed high levels of calibration accuracy (i.e., lower than the minimum value of RMS-residuals: 0.39 pixels). Based on the above analyses, we were able to verify the effectiveness of the proposed AV-type test-bed in the process of camera self-calibration.


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