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Related Concept Videos

Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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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...
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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy
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Accurate infrared structured light sensing system for dynamic 3D acquisition.

Yuping Ye, Hongguang Chang, Zhan Song

    Applied Optics
    |June 17, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a dynamic infrared (IR) structured light sensing system for high-resolution, real-time 3D scanning. The system achieves 29 Hz capture speed for dense 3D models using GPU parallelization and a novel calibration method.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Optical Sensing

    Background:

    • Real-time 3D acquisition is crucial for computer graphics and vision applications.
    • Existing methods may lack the required resolution, accuracy, or speed for dynamic scenes.

    Purpose of the Study:

    • To present a dynamic infrared structured light sensing system for high-resolution, accurate, real-time 3D scanning.
    • To detail the system's coding strategy, parallelization approach, and calibration method.

    Main Methods:

    • Utilized Gray code combined with stripe shifting for 3D acquisition coding.
    • Implemented GPU parallelization for the structured light algorithm.
    • Developed a practical calibration method for accurate parameter retrieval.

    Main Results:

    • The system achieves real-time 3D scanning at 29 Hz.
    • Captured dense and high-precision 3D model sequences.
    • Experimental results verified the system's feasibility and accuracy.

    Conclusions:

    • The proposed dynamic IR structured light sensing system offers a viable solution for high-performance 3D scanning.
    • The combination of coding strategy, GPU parallelization, and calibration enhances 3D model quality and capture speed.