Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

1.0K
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
1.0K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

3.0K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
3.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Uniform zinc oxide nanowire arrays grown on nonepitaxial surface with general orientation control.

Nano letters·2013
Same author

[American head and neck surgery progress of in 2012].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2013
Same author

A compact thermo-optical multimode-interference silicon-based 1 × 4 nano-photonic switch.

Optics express·2013
Same author

Experimental demonstration of 110-Gb/s unsynchronized band-multiplexed superchannel coherent optical OFDM/OQAM system.

Optics express·2013
Same author

Potentially functional variants of p14ARF are associated with HPV-positive oropharyngeal cancer patients and survival after definitive chemoradiotherapy.

Carcinogenesis·2013
Same author

Enhanced molecular transport in hierarchical silicalite-1.

Langmuir : the ACS journal of surfaces and colloids·2013

Related Experiment Video

Updated: Apr 6, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.4K

Digital Three-dimensional Reconstruction Based On Integral Imaging.

Chao Li1, Qian Chen2, Hong Hua3

  • 1Department of Optoelectronic Technology, Nanjing University of Science and Technology, China, 210004 ; 3-Dimensional Visualization and Imaging Systems (3DVIS) Laboratory, College of Optics Sciences, University of Arizona, Tucson, Arizona, USA, 85721.

Optical Review
|August 4, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel 3D reconstruction method using elemental images and Affine Scale-invariant feature transform (ASIFT) for accurate depth computation and object point localization. The technique demonstrates excellent performance in both accuracy and speed for digital 3D reconstruction.

Keywords:
3D ReconstructionASIFT operatorDepth value optimizationIntegral Image

More Related Videos

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

4.0K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K

Related Experiment Videos

Last Updated: Apr 6, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.4K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

4.0K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K

Area of Science:

  • Computer Vision
  • Digital Imaging
  • 3D Reconstruction

Background:

  • Micro-lens arrays and CCD sensors enable elemental image capture for 3D imaging.
  • Accurate image registration is crucial for precise depth estimation in 3D reconstruction.

Purpose of the Study:

  • To present a digital 3D reconstruction method using small-baseline elemental images.
  • To utilize the Affine Scale-invariant feature transform (ASIFT) for robust image registration.
  • To achieve accurate depth value computation and high-performance 3D reconstruction.

Main Methods:

  • Capture a set of small-baseline elemental images using a micro-lens array and CCD sensor.
  • Employ ASIFT for image registration, using a central elemental image as the reference.
  • Calculate matching points between elemental images to determine depth values.
  • Apply an optimization algorithm with redundant matching points for final 3D reconstruction.

Main Results:

  • The proposed method accurately computes depth values of object points relative to the reference image frame.
  • Experimental results demonstrate excellent performance in terms of accuracy.
  • The algorithm achieves high speed in the 3D reconstruction process.

Conclusions:

  • The presented digital 3D reconstruction method is effective and efficient.
  • The use of ASIFT and elemental images provides a robust approach for depth estimation.
  • The technique shows significant potential for various 3D imaging applications.