Method based on bioinspired sample improves autofocusing performances

Author:

Cao Jie1,Cheng Yang1,Wang Peng2,Peng Yuxin3,Zhang Kaiyu4,Wu Leina5,Xia Wenze1,Yu Haoyong6

Affiliation:

1. National University of Singapore, Department of Biomedical Engineering, Singapore 117575, SingaporebBeijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China

2. Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, ChinacBeijing Aerospace Measurement and Control Technology Co., Ltd., Beijing 100041, China

3. National University of Singapore, Department of Biomedical Engineering, Singapore 117575, SingaporedZhejiang University, Department of Physical Education and Sports Science, Hangzhou 310028, China

4. Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China

5. Xuzhou Institute of Technology, Department of Information and Electrical Engineering, Jiangsu 221000, China

6. National University of Singapore, Department of Biomedical Engineering, Singapore 117575, Singapore

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference27 articles.

1. Calibration of a moving zoom-lens camera for Augmented Reality applications

2. Transitional augmented reality navigation for live captured scenes;Tatzgern,2014

3. Monocular eye tracking system using webcam and zoom lens;Suh,2015

4. Real time facial features tracking using an active vision system;Macessanu,2012

5. Fast and accurate auto-focusing algorithm based on the combination of depth from focus and improved depth from defocus

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