Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Depth map sensor based on optical doped lens with multi-walled carbon nanotubes of liquid crystal

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we present a novel design concept for determining the depth map of three-dimensional (3D) scenes based on an electrically controlled liquid crystal (LC) lens. The advantages of the proposed method are that it does not need any mechanical movements and a large amount of computations to acquire a depth map of a 3D scene in a relatively short amount of time. The tunable-focus LC lens doped with multi-walled carbon nanotubes is to become a key optical component for determining a depth map system. Sequenced two-dimensional images of slightly different perspectives are recorded in a short time, and the depth map of the 3D scene, according to a proposed depth estimation method and a focusing evaluation function, can be acquired in a simple way. This new method to acquire a depth map based on a doped LC lens maximizes the use of the proposed LC lens. The proposed system is novel in its compact, simple, and fast features, so we believe the proposed method can open a new creative dimension in image analysis and imaging systems and can also overcome the limitations of the conventional imaging mode.

© 2015 Optical Society of America

Full Article  |  PDF Article
More Like This
Improvement in imaging contrast feature of liquid crystal lens with the dopant of multi-walled carbon nanotubes

Hui Li, Fan Pan, Yuntao Wu, Yanduo Zhang, and Xiaolin Xie
Appl. Opt. 56(23) 6655-6662 (2017)

Focal stack camera in all-in-focus imaging via an electrically tunable liquid crystal lens doped with multi-walled carbon nanotubes

Hui Li, Jing Peng, Fan Pan, Yuntao Wu, Yanduo Zhang, and Xiaolin Xie
Opt. Express 26(10) 12441-12454 (2018)

Electro-optical dynamic behavior of a nematic liquid crystal lens with added multi-walled carbon nanotubes

Li Hui, Qian Wentong, Pan Fan, Wu Yuntao, Zhang Yanduo, and Xie Xiaolin
OSA Continuum 2(3) 805-813 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (10)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.