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相关概念视频

Color Vision01:24

Color Vision

553
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.
553

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相关实验视频

Updated: Jun 21, 2025

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
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用RGB-D数据进行室内3D重建的神经色彩校正.

Tiago Madeira1,2, Miguel Oliveira1,3, Paulo Dias1,2

  • 1Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Intelligent System Associate Laboratory (LASI), University of Aveiro, 3810-193 Aveiro, Portugal.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种用于3D重建中的色彩校正的新型神经网络. 该方法在稀疏的室内拍摄中协调颜色,显著改善了照片现实的模型生成.

关键词:
3D重建重建的3D重建颜色纠正 颜色纠正 颜色纠正神经网络的神经网络的神经网络

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相关实验视频

Last Updated: Jun 21, 2025

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科学领域:

  • 计算机视觉 计算机视觉
  • 计算机图形 计算机图形
  • 机器学习 机器学习

背景情况:

  • 在以人为中心的应用中,生成照片现实的3D模型至关重要.
  • 室内场景的多视图3D重建由于不同的采集条件而导致颜色不一致.
  • 这些不一致导致最终3D模型中的视觉工件.

研究的目的:

  • 提出一种基于神经系统的新方法,用于室内3D重建中的色彩校正.
  • 在复杂的室内环境中,从稀疏的捕获中协调颜色.
  • 为了应对生成照片现实的3D模型的挑战.

主要方法:

  • 开发了一种轻量级和高效的神经网络方法.
  • 一个完全连接的深度神经网络学习了3D空间中颜色的隐性表示.
  • 捕获了取决于相机的效果,并估计转换可再生像素.

主要成果:

  • 拟议的方法有效地协调从稀疏捕获的颜色.
  • 它在MP3D数据集上表现优于现有的最先进的方法.
  • 这种方法产生了视觉上有吸引力和没有文物的3D模型.

结论:

  • 基于神经的色彩校正方法对于室内3D重建是有效的.
  • 它比目前用于生成照片现实的模型的方法提供了显著的改进.
  • 这种方法轻量化,高效,适合复杂的室内场景.