Jove
Visualize
联系我们

相关概念视频

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

3.3K
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...
3.3K
Light Acquisition02:16

Light Acquisition

8.6K
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.
8.6K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

972
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.
972
Vision01:24

Vision

55.4K
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.
55.4K
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

137
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
137
Distance Corrections01:15

Distance Corrections

92
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
92

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

Targeting CCR7-KMT2D enhances CAR-T cell efficacy by suppressing therapy-induced senescence in B-cell non-Hodgkin lymphoma.

BMC medicine·2026
Same author

Biomimetic Macrophage Cell Membrane-Based Nanoparticles for Effective Treatment of Glioblastoma Through Boron Neutron Capture Therapy Combined With Immunotherapy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Neuron-Derived MIF Engages VCAM1 to Fuel a Self-Amplifying CXCL8 Loop That Drives Perineural Invasion and Metastasis in Gastric Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Temperature- and Light-Regulated Liquid Crystal Smart Window for Dynamic Control of Daylight and Solar Heat in All-Weather Conditions.

Angewandte Chemie (International ed. in English)·2026
Same author

Plaque characteristics and clinical outcomes of non-culprit long lesions in patients with acute myocardial infarction.

International journal of cardiology·2026
Same author

Development and external validation of a multivariable nomogram for predicting severe immune checkpoint inhibitor-associated myocarditis in advanced lung cancer.

Translational lung cancer research·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章
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

相关实验视频

Updated: Sep 19, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

577

学习镜头 模糊字段 模糊字段

Esther Y H Lin, Zhecheng Wang, Rebecca Lin

    IEEE transactions on pattern analysis and machine intelligence
    |June 18, 2025
    PubMed
    概括
    此摘要是机器生成的。

    我们引入了一个称为镜头模糊场的神经表示,以模拟复杂的摄像系统中的光学模糊. 这种方法准确地捕捉了模糊变化,并揭示了设备之间的微妙光学差异.

    更多相关视频

    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    16.7K
    Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher
    05:14

    Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher

    Published on: February 23, 2018

    6.9K

    相关实验视频

    Last Updated: Sep 19, 2025

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    577
    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    16.7K
    Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher
    05:14

    Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher

    Published on: February 23, 2018

    6.9K

    科学领域:

    • 计算机视觉 计算机视觉
    • 计算机摄影的使用
    • 光学是什么?光学是什么?光学是什么?

    背景情况:

    • 由于复杂的光学元件,光学模糊是现代相机系统的一个基本挑战.
    • 现有的方法很难准确地模拟不同图像位置和相机设置之间的模糊差异.

    研究的目的:

    • 为了介绍一种新的高维神经表示,镜头模糊场,用于建模光学模糊.
    • 开发一种实用的方法来获取和表示镜头模糊的参数,作为一个单一的,传感器特定的功能.
    • 为了实现模糊变化的准确建模,包括失焦,衍射,偏差和传感器特定特征.

    主要方法:

    • 开发了一种基于多层感知子 (MLP) 的镜头模糊场表示.
    • 制定了一个通用的非盲目的解卷问题,以优化MLP权重.
    • 用焦点堆作为输入来学习设备的现实世界模糊场.
    • 为包括智能手机在内的各种相机系统创建了5D模糊场的数据集.

    主要成果:

    • 镜头模糊场准确地捕捉到图像平面位置和焦点的2D点扩散函数变化.
    • 这些表示模型结合了光学效应 (失焦,衍射,偏差) 和传感器特征 (颜色过器,微镜头).
    • 获得的5D模糊场显示出足够的表达力和准确性来区分相同的智能手机模型之间的光学行为.

    结论:

    • 镜头模糊场为摄像头中复杂的光学模糊模型提供了一种强大而实用的方法.
    • 这种表示可以精确地描述镜头性能和传感器相互作用.
    • 这些发现揭示了大规模生产的设备中以前无法观察到的光学区别,为质量控制和光学设计打开了道路.