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相关概念视频

Cranial Bones: Lateral View01:27

Cranial Bones: Lateral View

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The lateral view of the cranium is dominated by temporal, sphenoid, and ethmoid bones.
The temporal bone forms the lower lateral side of the skull. The temporal bone is subdivided into several regions. The flattened upper portion is the squamous portion of the temporal bone. Below this area and projecting anteriorly is the zygomatic process of the temporal bone, which forms the posterior portion of the zygomatic arch. Posteriorly is the mastoid portion of the temporal bone. Projecting...
2.7K

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相关实验视频

Updated: Sep 18, 2025

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

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多视图表面重建的神经隐含表示:一项调查

Xinyun Zhang, Ruiqi Yu, Shuang Ren

    IEEE transactions on visualization and computer graphics
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    概括
    此摘要是机器生成的。

    神经隐性表示,使用连续函数,如签名距离场 (SDF) 和神经辐射场 (NeRF),正在彻底改变3D重建. 本调查分析了它们在2020-2025年期间的各种应用和方法.

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    相关实验视频

    Last Updated: Sep 18, 2025

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    Published on: September 28, 2019

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    Photorealistic Learned Landscapes for Augmented Reality
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    科学领域:

    • 计算机视觉 计算机视觉
    • 三维几何3D几何学
    • 机器学习 机器学习

    背景情况:

    • 传统的显式几何表示与复杂的3D形状作斗争.
    • 神经隐性表示提供了一种连续的,基于函数的方法来编码3D表面.
    • 技术包括签名距离场 (SDF),未签名距离场 (UDF),占用场 (OF) 和神经辐射场 (NeRF).

    研究的目的:

    • 系统地分析神经隐性表示在3D重建中的不断发展的方法和应用.
    • 提供2020-2025年研究的结构化综合.
    • 引导新兴研究人员,并确定未来的研究方向.

    主要方法:

    • 基于几何表示类型 (SDF,UDF,OF,NeRF) 的神经隐性技术的分类.
    • 应用程序的分类包括对象级,场景级,开放表面和动态重建.
    • 一个双轴分类学,以构建最近研究 (2020-2025) 的调查.

    主要成果:

    • 神经隐含表示实现了卓越的多视图重建保真性.
    • 它们本质上支持非多重几何和复杂的拓变化.
    • 在各种重建任务中表现出有效性.

    结论:

    • 神经隐含表示是现代3D重建的基础工具.
    • 该领域正在迅速发展,需要进行全面的分析.
    • 这项调查为了解当前能力和未来潜力提供了路线图.