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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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Related Experiment Video

Updated: Feb 6, 2026

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
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Multiple-view polarimetric camera.

Philip Birch, Rupert Young, Chris Chatwin

    Applied Optics
    |August 18, 2018
    PubMed
    Summary
    This summary is machine-generated.

    A novel multiple-view polarimetric camera system was developed using four action cameras. This system accurately captures polarization information, enabling advanced imaging applications.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Instrumentation

    Background:

    • Polarimetric imaging provides rich information about material properties and scene geometry.
    • Existing multi-view polarimetric systems can be complex and require precise calibration.
    • Action cameras offer a cost-effective platform for developing advanced imaging solutions.

    Purpose of the Study:

    • To develop a robust and cost-effective multiple-view polarimetric camera system.
    • To enable the generation of Stokes vectors and polarization parameters from multiple viewpoints.
    • To address challenges in image registration and temporal synchronization for polarimetric applications.

    Main Methods:

    • Utilizing four synchronized action cameras to capture images from different perspectives.
    • Developing custom software for image mapping and the computation of Stokes vectors.
    • Implementing an automated calibration system for accurate pixel mapping and robust performance.
    • Establishing video frame synchronization for coherent multi-view data acquisition.

    Main Results:

    • Successful generation of Stokes vectors, degree of linear polarization, and angle images.
    • Demonstrated robustness through an automated calibration system ensuring accurate pixel mapping.
    • Achieved reliable video frame synchronization across multiple cameras.
    • Validated the system's capability for multi-view polarimetric data acquisition.

    Conclusions:

    • The developed multiple-view polarimetric camera system offers a practical approach to capturing polarization information.
    • The automated calibration and synchronization methods enhance system robustness and data quality.
    • This system has potential applications in areas requiring detailed surface and material analysis.