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Related Concept Videos

Light Acquisition02:16

Light Acquisition

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.
Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

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A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
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Adaptive color calibration based one-shot structured light system.

Yu Zhou1, Dongwei Zhao, Yao Yu

  • 1School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu, China. nackzhou@nju.edu.cn

Sensors (Basel, Switzerland)
|November 1, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces adaptive color calibration and a Discrete Trend Transform algorithm to improve 3D reconstruction accuracy. The methods effectively address color distortions in structured light systems, enabling high-resolution scans even with challenging surfaces.

Keywords:
3D image acquisitionadaptive color calibrationdiscrete trend transformstructured light

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Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Optical Metrology

Background:

  • One-shot color structured light systems face challenges like color crosstalk, ambient light interference, and object albedo variations.
  • These distortions lead to inaccurate stripe correspondence between projected and captured images, hindering precise 3D modeling.

Purpose of the Study:

  • To develop an adaptive color calibration and Discrete Trend Transform algorithm for high-resolution 3D reconstructions.
  • To enhance the accuracy of color stripe decoding by mitigating albedo and ambient light effects.

Main Methods:

  • Adaptive color calibration adjusts based on relative albedo in RGB channels to improve stripe labeling accuracy.
  • Discrete Trend Transform in the M channel enhances detection of weak stripes on uneven or low-reflectance surfaces.

Main Results:

  • The proposed system significantly alleviates color distortions caused by object albedo and ambient light.
  • Improved stripe detection enables high-resolution 3D reconstructions from challenging scanned objects.

Conclusions:

  • The adaptive color calibration and Discrete Trend Transform method provide accurate 3D reconstructions in one-shot color structured light systems.
  • This approach is suitable for scanning moving objects and does not require controlled, dark laboratory environments.