scholarly journals Optical See-through 2D/3D Compatible Display Using Variable-Focus Lens and Multiplexed Holographic Optical Elements

Photonics ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 297
Author(s):  
Qinglin Ji ◽  
Huan Deng ◽  
Hanle Zhang ◽  
Wenhao Jiang ◽  
Feiyan Zhong ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Display Device ◽  
3D Display ◽  
Optical Elements ◽  
Reconstruction Process ◽  
Holographic Optical Elements ◽  
Projection Display ◽  
Spherical Wavefront ◽  
2D And 3D ◽  
Variable Focus

An optical see-through two-dimensional (2D)/three-dimensional (3D) compatible display using variable-focus lens and multiplexed holographic optical elements (MHOE) is presented. It mainly consists of a MHOE, a variable-focus lens and a projection display device. The customized MHOE, by using the angular multiplexing technology of volumetric holographic grating, records the scattering wavefront and spherical wavefront array required for 2D/3D compatible display. In particular, we proposed a feasible method to switch the 2D and 3D display modes by using a variable-focus lens in the reconstruction process. The proposed system solves the problem of bulky volume, and makes the MHOE more efficient to use. Based on the requirements of 2D and 3D displays, we calculated the liquid pumping volume of the variable-focus lens under two kinds of diopters.

scholarly journals Two-dimensional and three-dimensional transparent screens based on lens-array holographic optical elements

2014 ◽  
Vol 22 (12) ◽  
pp. 14363 ◽  
Author(s):  
Keehoon Hong ◽  
Jiwoon Yeom ◽  
Changwon Jang ◽  
Gang Li ◽  
Jisoo Hong ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Two Dimensional ◽  
Optical Elements ◽  
Lens Array ◽  
Holographic Optical Elements

scholarly journals Spiral Caustics of Vortex Beams

Photonics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Viktor Soifer ◽  
Sergey Kharitonov ◽  
Svetlana Khonina ◽  
Yurii Strelkov ◽  
Alexey Porfirev
Keyword(s):  
Electromagnetic Field ◽  
Three Dimensional ◽  
Direct Calculation ◽  
Radial Component ◽  
Stationary Points ◽  
Analytical Relation ◽  
Light Modulator ◽  
Optical Elements ◽  
2D And 3D ◽  
Good Agreement

We discuss the nonparaxial focusing of laser light into a three-dimensional (3D) spiral distribution. For calculating the tangential and normal components of the electromagnetic field on a preset curved surface we propose an asymptotic method, using which we derive equations for calculating stationary points and asymptotic relations for the electromagnetic field components in the form of one-dimensional (1D) integrals over a radial component. The results obtained through the asymptotic approach and the direct calculation of the Kirchhoff integral are identical. For a particular case of focusing into a ring, an analytical relation for stationary points is derived. Based on the electromagnetic theory, we design and numerically model the performance of diffractive optical elements (DOEs) to generate field distributions shaped as two-dimensional (2D) and 3D light spirals with the variable angular momentum. We reveal that under certain conditions, there is an effect of splitting the longitudinal electromagnetic field component. Experimental results obtained with the use of a spatial light modulator are in good agreement with the modeling results.

Recent progress in see-through three-dimensional displays using holographic optical elements [Invited]

2015 ◽  
Vol 55 (3) ◽  
pp. A71 ◽  
Author(s):  
Changwon Jang ◽  
Chang-Kun Lee ◽  
Jinsoo Jeong ◽  
Gang Li ◽  
Seungjae Lee ◽  
...  
Keyword(s):  
Recent Progress ◽  
Three Dimensional ◽  
Optical Elements ◽  
Holographic Optical Elements

360-degree three-dimensional flat panel display using holographic optical elements

2015 ◽  
Author(s):  
Hirofumi Yabu ◽  
Yusuke Takeuchi ◽  
Kayo Yoshimoto ◽  
Hideya Takahashi ◽  
Kenji Yamada
Keyword(s):  
Three Dimensional ◽  
Flat Panel Display ◽  
Flat Panel ◽  
Optical Elements ◽  
Holographic Optical Elements

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

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