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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

909
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.
909

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

Metabolic characteristics of poultry eggs from five species: insights from metabolomics, network analysis, and machine learning.

Poultry science·2026
Same author

Bidirectional drive and multi-resolution adjustment across frequency bands in inertial impact piezoelectric motors via multimodal resonant vibration.

The Review of scientific instruments·2026
Same author

Impact of ambient fine particulate matter (PM<sub>2.5</sub>) pollution on disease burden in BRICS from 1990 to 2023: evidence from the Global Burden of Disease Study 2023.

BMJ global health·2026
Same author

A Highly Sensitive, Ultrawide-Range Temperature-Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring.

ACS applied materials & interfaces·2026
Same author

Processing-Dependent Incorporation of Food By-Product Extract into Zein-Based Active Packaging Films.

Polymers·2026
Same author

Waterproof Pressure Sensor Leveraging Nano-/Microdeformation of Microstructure under Pressure for Collecting Wide-Range Human Physiological Signals Underwater Stably.

ACS sensors·2026
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.1K

细节感知多视图立体网络用于深度估计.

Haitao Tian, Junyang Li, Chenxing Wang

    Applied optics
    |August 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一个细节感知多视图立体网络,可以改善对象边界和详细区域的深度估计. 这种新的方法提高了3D场景中的几何精度和纹理重建.

    更多相关视频

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    635
    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
    08:04

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

    Published on: December 4, 2013

    4.5K

    相关实验视频

    Last Updated: Sep 11, 2025

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.1K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    635
    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
    08:04

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

    Published on: December 4, 2013

    4.5K

    科学领域:

    • 计算机视觉 计算机视觉
    • 三维重建的3D重建
    • 机器学习 机器学习

    背景情况:

    • 多视图立体声 (MVS) 方法在使用粗细框架的深度估计方面表现出色.
    • 现有的MVS技术在对象边界和细节区域的精确深度回收方面扎.

    研究的目的:

    • 开发一个细节意识的MVS网络,提高深度估计的准确性,特别是在对象边界和复杂区域.
    • 改进3D环境中几何结构和纹理细节的重建.

    主要方法:

    • 提出了一个细节意识的MVS网络,采用粗到细的框架.
    • 整合了从粗阶段的几何深度线索,以保持结构关系并增强特征表示.
    • 利用图像合成损失来指导细节区域的梯度流,加强对边界和纹理的监督.
    • 实施了适应性深度间隔调整策略,以提高对象重建的准确性.

    主要成果:

    • 提出的方法证明了对基准数据集 (DTU,坦克和寺) 的竞争性表现.
    • 与现有的MVS方法相比,实现了对物体边界和纹理丰富区域的增强深度估计.
    • 在3D对象重建中展示了提高的准确性.

    结论:

    • 细节感知MVS网络有效地解决了恢复对象边界和细节的限制.
    • 整合几何线索,图像合成损失和自适应深度调整显著改善了深度估计和3D重建质量.
    • 该方法为复杂场景中高准确度深度估计提供了强大的解决方案.