Influence of the Maximum Blur Radius on Depth Sensor Based on Liquid Crystal Lens

Liming Zheng , Xiaoxi Chen , Yalei Zhang , Mao Ye

Photonic Sensors ›› 2020, Vol. 11 ›› Issue (3) : 371 -375.

PDF
Photonic Sensors ›› 2020, Vol. 11 ›› Issue (3) : 371 -375. DOI: 10.1007/s13320-021-0621-x
Regular

Influence of the Maximum Blur Radius on Depth Sensor Based on Liquid Crystal Lens

Author information +
History +
PDF

Abstract

This paper describes how the maximum blur radius affects the depth results by depth from the defocus (DFD) method based on liquid crystal (LC) lens. Boundary frequency is determined by the maximum blur radius. It is found that if the maximum blur radius used in the calculation is larger than the real value, the depth resolution obtained is reduced; on the other hand, if one smaller than the real value is used, the depth resolution in the middle range of the scene is increased, but errors occur in the near and far planes. Using the maximum blur radius close to the real one results in the best depth results.

Keywords

Depth from defocus / liquid crystal lens / maximum blur radius

Cite this article

Download citation ▾
Liming Zheng, Xiaoxi Chen, Yalei Zhang, Mao Ye. Influence of the Maximum Blur Radius on Depth Sensor Based on Liquid Crystal Lens. Photonic Sensors, 2020, 11(3): 371-375 DOI:10.1007/s13320-021-0621-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Foix S, Alenya G, Torras C. Lock-in time-of-flight (ToF) cameras: a survey. IEEE Sensors Journal, 2011, 11(9): 1917-1926.

[2]

Horn E, Kiryati N. Toward optimal structured light patterns. Image and Vision Computing, 1999, 17(2): 87-97.

[3]

Ens J, Lawrence P. A matrix based method for determining depth from focus. IEEE Proceedings, 1991, 1, 600-606.

[4]

Ens J, Lawrence P. An investigation of method for determining depth from focus. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(2): 97-108.

[5]

Moeller M, Benning M, Schoenlieb C, Cremers D. Variational depth from focus reconstruction. IEEE Transactions on Image Processing, 2015, 24(12): 5369-5378.

[6]

Watanabe M, Nayar S K. Rational filters for passive depth from defocus. International Journal of Computer Vision, 1998, 27(3): 203-225.

[7]

Subbarao M, Surya G. Depth from defocus: a spatial domain approach. International Journal of Computer Vision, 1994, 13(3): 271-294.

[8]

Blayvas I, Kimmel R, Rivlin E. Role of optics in the accuracy of depth-from-defocus systems. Journal of the Optical Society of America A, 2007, 24(4): 967-972.

[9]

Sato S. Liquid-crystal lens-cells with variable focal length. Japanese Journal of Applied Physics, 1979, 18(9): 1679.

[10]

Wang B, Ye M, Sato S. Liquid crystal lens with focal length variable from negative to positive values. IEEE Photonics Technology Letters, 2005, 18(1): 79-81.

[11]

Ye M, Wang B, Sato S. Liquid-crystal lens with a focal length that is variable in a wide range. Applied Optics, 2004, 43(35): 6407-6412.

[12]

Ye M, Wang B, Uchida M, Yanase S, Takahashi S, Sato S. Focus tuning by liquid crystal lens in imaging system. Applied Optics, 2012, 51(31): 7631-7634.

[13]

Lin Y H, Chen M S, Lin H C. An electrically tunable optical zoom system using two composite liquid crystal lenses with a large zoom ratio. Optical Express, 2011, 19(5): 4714-4721.

[14]

Ye M, Wang B, Uchida M, Yanase S, Takahashi S, Yamaguchi M, . Low-voltage-driving liquid crystal lens. The Japan Society of Applied Physics, 2010, 49(100204): 1-4.

[15]

Lin H C, Lin Y H. A fast response and large electrically tunable-focusing imaging system based on switching of two modes of a liquid crystal lens. Applied Physics Letters, 2010, 97(6): 063505.

[16]

Ye M, Chen X X, Li Q C, Zeng J, Yu S D. Depth from defocus measurement method based on liquid crystal lens. Optics Express, 2018, 26(22): 28413-28420.

[17]

Chen X, Bai Y, Chao C, Ye M. Driving liquid crystal lens to extend focus range. Japanese Journal of Applied Physics, 2018, 57(7): 072601.

AI Summary AI Mindmap
PDF

115

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/