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

Properties of Laplace Transform-II01:16

Properties of Laplace Transform-II

668
Time differentiation, convolution, integration, and periodicity are fundamental concepts in analyzing functions and signals over time. Each concept provides a unique perspective on how functions evolve, interact, and repeat, offering essential tools for various scientific and engineering applications.
Time differentiation involves analyzing the rate of change of a function over time. Mathematically, it is the derivative of a function with respect to time. This concept can be likened to tracking...
668
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

11.8K
The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
11.8K
UV–Vis Spectrum01:30

UV–Vis Spectrum

3.4K
When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
3.4K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

2.3K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
2.3K
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

1.2K
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
1.2K
IR Spectrum01:19

IR Spectrum

3.3K
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Ventilator-Associated Pneumonia Predicts Severe Cognitive Disability in Severe Traumatic Brain Injury.

Surgical infections·2025
Same author

Steered Response Power for Sound Source Localization: a tutorial review.

EURASIP journal on audio, speech, and music processing·2024
Same author

Efficacy and safety of near-infrared fluorescence identification of the thoracic duct during left lateral neck dissection.

Surgery·2023
Same author

Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement.

Trends in hearing·2022
Same author

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.

IEEE transactions on medical imaging·2021
Same author

Oscillation and self-propulsion of Leidenfrost droplets enclosed in cylindrical cavities.

Soft matter·2020

Related Experiment Video

Updated: Apr 5, 2026

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals
12:18

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals

Published on: February 26, 2022

10.5K

On the Spectrum of the Plenoptic Function.

Christopher Gilliam, Pier-Luigi Dragotti, Mike Brookes

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 14, 2015
    PubMed
    Summary

    Researchers derived a new closed-form expression for the plenoptic spectrum of slanted planes. This enables improved plenoptic sampling and reconstruction filters for computer vision applications.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Signal Analysis

    Background:

    • The plenoptic function is crucial for analyzing multi-view image data.
    • Understanding its spectral properties is vital for computer vision tasks like image-based rendering.

    Purpose of the Study:

    • To derive an exact closed-form expression for the plenoptic spectrum of a slanted plane.
    • To utilize this expression for analyzing complex scenes and improving plenoptic sampling.

    Main Methods:

    • Derived a closed-form expression for the plenoptic spectrum of a finite-width slanted plane.
    • Approximated complex scenes using sets of slanted planes.
    • Revisited uniform plenoptic sampling using the derived expression.

    Main Results:

    More Related Videos

    Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
    07:11

    Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

    Published on: May 25, 2020

    6.9K
    Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
    09:28

    Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

    Published on: June 23, 2023

    4.0K

    Related Experiment Videos

    Last Updated: Apr 5, 2026

    In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals
    12:18

    In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals

    Published on: February 26, 2022

    10.5K
    Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
    07:11

    Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

    Published on: May 25, 2020

    6.9K
    Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
    09:28

    Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

    Published on: June 23, 2023

    4.0K
    • Developed a new Nyquist rate for plenoptic sampling of slanted planes.
    • Introduced a novel reconstruction filter for plenoptic data.
    • Demonstrated superior performance of the new filter over existing methods via simulations.

    Conclusions:

    • The derived closed-form expression is a foundational tool for plenoptic spectrum analysis.
    • The new sampling rate and reconstruction filter offer significant improvements in computer vision applications.
    • The method shows effectiveness on both real and synthetic image datasets.