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相关概念视频

Perceptual Constancy01:12

Perceptual Constancy

1.3K
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...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.8K
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.
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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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相关实验视频

Updated: Jan 17, 2026

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

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感知指导的VR风格转移转移

Seonghwa Choi, Jungwoo Huh, Sanghoon Lee

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 16, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的VR风格传输模型 (VRST-GAN),通过优化虚拟现实内容中的色彩动态和时空一致性来增强沉浸感. 一个VR沉浸式预测器 (VR-IP) 在预测用户沉浸时达到91%的准确性.

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    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
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    Controlled Rotation of Human Observers in a Virtual Reality Environment
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    Controlled Rotation of Human Observers in a Virtual Reality Environment

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    相关实验视频

    Last Updated: Jan 17, 2026

    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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    Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

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    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
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    Controlled Rotation of Human Observers in a Virtual Reality Environment
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    科学领域:

    • 计算机视觉 计算机视觉
    • 人与计算机的交互
    • 感知计算是一种感知计算.

    背景情况:

    • 虚拟现实 (VR) 使用全向视频 (ODV) 提供沉浸式体验.
    • 在VR中提高观众体验质量 (QoE) 需要根据感知因素操纵场景.
    • 风格转移方法可以在VR中创建艺术效果,但它们对沉浸感的影响需要研究.

    研究的目的:

    • 调查影响虚拟现实中风格化沉浸感的感知因素.
    • 开发一种感知导向的VR风格转移模型.
    • 创建一个模型来预测VR内容的沉浸度.

    主要方法:

    • 引入了一个沉浸感应模型,用于发光度和色彩感知.
    • 在风格化的VR内容中测量了色彩动态和时空一致性.
    • 开发了VR风格传输GAN (VRST-GAN) 和VR沉浸性预测器 (VR-IP).

    主要成果:

    • 通过考虑色彩动态和时空一致性,VRST-GAN增强了VR沉浸力.
    • VRST-GAN有效地将所需的风格转移到VR环境中.
    • 虚拟现实沉浸度预测器 (VR-IP) 在预测用户沉浸度方面实现了91%的准确性.

    结论:

    • 诸如色彩动态和时空一致性之类的感知因素对于风格化的VR沉浸性至关重要.
    • VRST-GAN提供了一种创新的方法来创建更沉浸式的VR内容.
    • VR-IP模型证明了准确预测VR沉浸的可行性.