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相关概念视频

Perceptual Constancy01:12

Perceptual Constancy

385
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
385
Color Vision01:24

Color Vision

561
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.
561
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

631
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
631
Vision01:24

Vision

53.2K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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Anatomy of the Eyeball01:20

Anatomy of the Eyeball

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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
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相关实验视频

Updated: Jun 26, 2025

Visualizing Visual Adaptation
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虚拟现实环境中的颜色恒定机制

Raquel Gil Rodríguez1,2, Laysa Hedjar1,3, Matteo Toscani4,5

  • 1Psychology Department, Justus-Liebig University, Giessen, Germany.

Journal of vision
|May 10, 2024
PubMed
概括
此摘要是机器生成的。

人类的颜色恒定性依赖于场景的解释,而不仅仅是像素数据. 虚拟现实实验显示,局部环境线索显著影响性能,而最大流量具有最小的影响.

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科学领域:

  • 视觉感知 视觉感知 视觉感知
  • 计算神经科学是一种神经科学.
  • 虚拟现实 虚拟现实 虚拟现实

背景情况:

  • 在自然条件下,在单个光源和长时间曝光下,颜色恒定性是强大的.
  • 在真实物体和照明中,研究特定的视觉线索以获得颜色恒定是很困难的.
  • 虚拟现实 (VR) 提供了一个可控的环境来研究这些机制.

研究的目的:

  • 为了研究人类用于颜色恒定的特定线索.
  • 量化中和局部环境,最大流量和空间平均值对颜色恒定的影响.
  • 为了比较场景解释与基于像素的计算在颜色恒定的作用.

主要方法:

  • 利用VR创建沉浸式森林和办公场景与五个照明灯.
  • 参与者执行了一项与参考对象匹配颜色的任务.
  • 操纵场景以中和局部环境,最大流量和空间平均线索.

主要成果:

  • 当所有线索都存在时,观察到高颜色恒定性.
  • 移除局部环绕线索显著损害了颜色恒定性,特别是在绿光下.
  • 中和最大流量的影响最小,挑战白平衡假设.
  • 空间平均值的操纵显示了各种各样的效果:添加物体有轻微的影响,而改变反射率大大降低了常数.

结论:

  • 人类的颜色恒定性对当地的周围信息和场景背景非常敏感.
  • 场景解释似乎比像素级计算对颜色恒定更为关键.
  • 这些发现挑战了目前用于白平衡和图像处理的算法.