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

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

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.

Advances in neural information processing systems·2026
Same author

Proximity-Driven Protein Ligation Beyond the Concentration Limit.

Journal of the American Chemical Society·2026
Same author

Proactive Health: A Culture-Centered Study on the Differential Health Practices of Older Adults in Elderly Care Institutions in China.

Health communication·2026
Same author

Direct Photoredox Synthesis of <i>N</i>-Linked Glycoproteins.

Journal of the American Chemical Society·2026
Same author

Elemental phosphorus-stabilized Ni<sub>2</sub>P for efficient electrooxidation of 5-hydroxymethylfurfural to 2,5-furandicarboxylic acid.

Chemical communications (Cambridge, England)·2026
Same author

Evaluation of a novel C2 pedicle screw insertion technique: a retrospective comparative clinical study and finite element analysis.

Scientific reports·2026

相关实验视频

Updated: May 23, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.7K

斯普拉特洛克:用于增强现实的基于3D高斯斯普拉特的视觉定位.

Hongjia Zhai, Xiyu Zhang, Boming Zhao

    IEEE transactions on visualization and computer graphics
    |March 10, 2025
    PubMed
    概括

    本研究介绍了一种高效的视觉定位方法,使用3D高斯原体来增强现实 (AR). 这种方法可以实现高质量的染,减少存储和改善现实场景中的姿势估计.

    科学领域:

    • 计算机视觉 计算机视觉
    • 计算机图形 计算机图形
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 视觉本地化对于增强现实 (AR) 设备来说至关重要,以确定它们在预先构建的地图中对虚拟内容染的6DoF姿势.
    • 现有的方法往往难以实现新的视图染,并且需要大量的地图存储容量.

    研究的目的:

    • 开发一种高效的视觉本地化技术,以最少的参数支持高质量的染.
    • 在染能力和存储要求方面解决现有方法的局限性.

    主要方法:

    • 为了场景表示,利用3D高斯原体.
    • 为高斯原始体开发一个不偏见的3D场景特定描述符解码器,以确保准确的2D-3D对应.
    • 实现一个突出的3D地标选择算法,以使用原始的子集进行高效的本地化.
    • 调整关键的高斯原始数以减轻异构效应并提高定位精度.

    主要成果:

    • 提出的方法证明了有效的视觉定位与更少的参数.
    • 实现高质量的染功能,克服先前技术的局限性.
    • 实验结果显示,在标准数据集上,以隐性为基础的视觉定位方法的性能优于或相当于最先进的视觉定位方法.

    更多相关视频

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    862
    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
    09:26

    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

    Published on: January 2, 2020

    18.1K

    相关实验视频

    Last Updated: May 23, 2025

    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
    12:49

    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

    Published on: September 28, 2019

    12.7K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    862
    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
    09:26

    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

    Published on: January 2, 2020

    18.1K

    结论:

    • 基于3D高斯原始的方法为AR应用中的视觉定位提供了有效的解决方案.
    • 该方法在本地化准确性,染质量和存储效率之间提供了平衡.
    • 这项工作通过实现更实用,更高性能的AR体验,推动了该领域的发展.