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Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...

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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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Projector radiometric compensation using a 2D spectroradiometer.

Yoshiaki Maeda, Daisuke Iwai

    Optics Express
    |June 11, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel projector radiometric compensation method to enhance augmented reality experiences. The technique accurately corrects color distortion caused by surface textures, improving visual fidelity without requiring head-mounted displays.

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    Area of Science:

    • Computer Vision
    • Optics
    • Human-Computer Interaction

    Background:

    • Projection mapping (PM) offers immersive augmented reality (AR) without display devices.
    • Surface textures on real-world objects cause color distortion in projected imagery.
    • Existing compensation methods using RGB cameras lack sufficient accuracy.

    Purpose of the Study:

    • To develop an accurate projector radiometric compensation method for AR.
    • To minimize color differences between target images and projected results.
    • To improve alignment with human color perception.

    Main Methods:

    • Utilized a 2D spectroradiometer (2DSR) for precise color measurement.
    • Modeled projector-to-2DSR color transformation differentiably.
    • Implemented two optimization strategies: spectral error minimization and differentiable color space error minimization.

    Main Results:

    • The proposed method achieved significantly more accurate projector radiometric compensation.
    • Experimental results demonstrated superior performance compared to RGB camera-based methods.
    • The compensation method showed better alignment with human color perception.

    Conclusions:

    • The developed method effectively addresses color distortion in projection mapping.
    • Accurate radiometric compensation enhances the realism of AR experiences.
    • The approach offers a viable solution for high-fidelity projection mapping applications.