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

Integration by Parts: Indefinite Integrals01:26

Integration by Parts: Indefinite Integrals

171
Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...
171
Velocity of an Object01:18

Velocity of an Object

206
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
206
Dimensional Analysis03:40

Dimensional Analysis

64.3K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
64.3K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

781
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
781
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

798
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
798

You might also read

Related Articles

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

Sort by
Same author

AI-driven digital holographic microscopy for label-free quantitative cellular analysis: toward low-cost and field-deployable platforms.

Biomedical optics express·2026
Same author

Morphological investigation of astrocyte brain cells using quantitative phase imaging.

Biomedical optics express·2026
Same author

Security authentication and tracking of unmanned moving vehicles with optical ID tags.

Optics express·2026
Same author

3D profilometric object detection in turbid water using integral imaging and deep neural networks.

Optics express·2026
Same author

Underwater multidimensional metrology in degraded environments with augmented reality devices.

Optics express·2026
Same author

Dynamic vision-based underwater optical signal detection system in a degraded environment using multi-dimensional integral imaging and deep learning.

Optics express·2026
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
05:57

Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

Published on: November 20, 2018

59.0K

Three-dimensional distortion-tolerant object recognition using integral imaging.

Sekwon Yeom, Bahram Javidi

    Optics Express
    |June 3, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces distortion-tolerant 3D object recognition using Integral Imaging (II). The developed method effectively recognizes 3D objects despite distortions, enhancing 3D imaging applications.

    More Related Videos

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
    08:52

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

    Published on: August 30, 2017

    77.5K
    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.2K

    Related Experiment Videos

    Last Updated: Feb 1, 2026

    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
    05:57

    Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget

    Published on: November 20, 2018

    59.0K
    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
    08:52

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

    Published on: August 30, 2017

    77.5K
    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.2K

    Area of Science:

    • Computer Vision
    • 3D Imaging
    • Pattern Recognition

    Background:

    • Integral Imaging (II) is a key technology for 3D image recording and display.
    • II captures multiple elemental images for continuous 3D viewing zones.
    • 3D object recognition faces challenges with distortions inherent in imaging systems.

    Purpose of the Study:

    • To develop a distortion-tolerant 3D object recognition method using Integral Imaging.
    • To analyze the performance of the proposed recognition system.
    • To compare different decision strategies for 3D object recognition.

    Main Methods:

    • Utilized Integral Imaging (II) capture system for 3D data acquisition.
    • Applied Principal Component Analysis (PCA) for dimensionality reduction.
    • Employed Fisher Linear Discriminant (FLD) classifier with nearest neighbor and statistical distance metrics.

    Main Results:

    • Performance evaluated by correct decision probability and Root Mean Square Error (RMSE).
    • Analyzed PCA subspace reconstruction accuracy.
    • Assessed PCA-FLD cost function effectiveness.
    • Compared decision strategies based on training data size.

    Conclusions:

    • The proposed method demonstrates effective distortion-tolerant 3D object recognition using II.
    • PCA and FLD combination provides a robust approach for 3D recognition.
    • Performance is sensitive to the amount of training data available.