Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 18,
  • Issue 6,
  • pp. 060901-
  • (2020)

Use of focus stacking and SfM techniques in the process of registration of a small object hologram

Not Accessible

Your library or personal account may give you access

Abstract

In this Letter, a method for shape visualization of small objects (microscopic) in the form of a hologram is presented. It consists of a standard optical set-up for small object registration (i.e., stereoscopic or biological microscope). The focus stacking technique is used to obtain a series of images with increased depth of field and on them a shape reconstruction procedure (structure from motion, SfM) is made. With use of a dense cloud of points, a sequence of parallax-related images suitable for Geola’s digital holographic printing is generated. The holographic printer produces single-parallax holographic (full three-dimensional) images of real or virtual objects.

© 2020 Chinese Laser Press

PDF Article
More Like This
Enhancement of three-dimensional perception of numerical hologram reconstructions of real-world objects by motion and stereo

Risto Näsänen, Tristan Colomb, Yves Emery, and Thomas J. Naughton
Opt. Express 19(17) 16075-16086 (2011)

Self-registration shape measurement based on fringe projection and structure from motion

Peng Wang and Liyan Zhang
Appl. Opt. 59(35) 10986-10994 (2020)

Phase imaging flow cytometry using a focus-stack collecting microscope

Sai Siva Gorthi and Ethan Schonbrun
Opt. Lett. 37(4) 707-709 (2012)

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

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.