Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Visual Agnosia01:12

Visual Agnosia

176
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
176
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

593
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.
593
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.1K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.1K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

5.9K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
5.9K
Atomic Force Microscopy01:08

Atomic Force Microscopy

3.3K
Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
3.3K
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

2.5K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
2.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Behavioral Responses and Contact Toxicity of Australian Tea Tree Oil and Its Major Constituents Against the Asian Citrus Psyllid, <i>Diaphorina citri</i> Kuwayama.

Insects·2026
Same author

Polarity-determined triple partition of dual binding pockets unlocks mechanistic insights and a novel antagonist design of NMDA receptors: a combined MD/DFT study.

RSC advances·2026
Same author

Portable and Visualized X-ray Dose Rate Detection and Imaging Utilizing Br-Doped CsCdCl<sub>3</sub> Crystals.

ACS applied materials & interfaces·2025
Same author

Spatial and electronic features driving SGLT1/2 selectivity: a combined molecular dynamics and quantum mechanics study.

Physical chemistry chemical physics : PCCP·2025
Same author

Isotropic PSF modification for optimized optical lens design in image-matching tasks.

Optics express·2025
Same author

Orange-red emissive organic-inorganic hybrid copper halide for white light-emitting diode application.

Optics letters·2025
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
查看所有相关文章

相关实验视频

Updated: Jun 7, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

651

异常感知功能检测和描述.

Bingkun Chen, Jinwen Zhou, Menghao Li

    Optics express
    |November 14, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了一种新的方法来改进图像中的特征检测和描述,通过结合点传播函数 (PSF) 增强和适应模拟的光学偏差. 这提高了各种光学系统的图像匹配精度.

    更多相关视频

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    42.8K

    相关实验视频

    Last Updated: Jun 7, 2025

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    651
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    42.8K

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 光学工程是指光学工程.

    背景情况:

    • 功能检测和描述对于准确的图像匹配和基于视觉的任务至关重要.
    • 图像中的光学偏差,特别是偏离轴和场深度之外的偏差,阻碍了一致的特征提取.
    • 现有的方法在不同光学系统的特征一致性方面扎.

    研究的目的:

    • 提出一种用于训练特征检测和描述网络的新方法,这些网络对光学偏差具有坚固性.
    • 为了提高来自不同光学系统的图像特征提取的准确性和一致性.
    • 为了提高依赖于精确图像匹配的计算机视觉任务的性能.

    主要方法:

    • 在网络训练中使用点扩散函数 (PSF) 建模的光学系统误差.
    • 引入PSF增强来模拟训练期间的光学偏差.
    • 开发同型PSF适应,以使用未标记数据为特定光学系统定制模型.

    主要成果:

    • 对来自特定相机的图像的特征检测和描述性能进行了显著改进.
    • 展示了PSF增强和同型PSF适应在增强特征强度方面的有效性.
    • 验证了该方法在不同光学系统中通用和提高性能的能力.

    结论:

    • 拟议的方法有效地解决了在特征检测和描述中的光学偏差的挑战.
    • 基于PSF的培训定制为提高图像匹配精度提供了强大的解决方案.
    • 这种方法提高了基于视觉的系统的可靠性,这些系统使用各种光学硬件运行.