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相关概念视频

Spherical Coordinates01:23

Spherical Coordinates

11.0K
Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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Convolution Properties II01:17

Convolution Properties II

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The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Convolution Properties I01:20

Convolution Properties I

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Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Transformers01:26

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Spherical and Cylindrical Capacitor01:26

Spherical and Cylindrical Capacitor

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A spherical capacitor consists of two concentric conducting spherical shells of radii R1 (inner shell) and R2 (outer shell). The shells have  equal and opposite charges of +Q and −Q, respectively. For an isolated conducting spherical capacitor, the radius of the outer shell can be considered to be infinite.
Conventionally, considering the  symmetry, the electric field between the concentric shells of a spherical capacitor is directed radially outward. The magnitude of the field,...
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相关实验视频

Updated: Sep 16, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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学习了用球形卷积-自我注意力和变压器上下文模型进行球形图像压缩.

Hui Hu, Yunhui Shi, Jin Wang

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    概括
    此摘要是机器生成的。

    本研究介绍了用于高效的虚拟现实图像压缩的球形深度神经网络 (DNN). 这种新的方法显著提高了速率扭曲性能,比平面方法减少了超过16%的比特率.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 机器学习 机器学习

    背景情况:

    • 虚拟现实 (VR) 应用需要高效的球形图像压缩.
    • 当前的方法将球形图像转换为平面投影 (例如,等直角投影),导致基于深度神经网络 (DNN) 的压缩效率低下,原因是采样不均.
    • 现有的基于DNN的平面压缩方法与球形数据的固有特性作斗争.

    研究的目的:

    • 开发一种新的深度神经网络 (DNN) 方法,用于直接的球形图像压缩.
    • 为了克服基于平面投影的压缩对球体内容的局限性.
    • 为了提高球形图像压缩中的速率扭曲 (R-D) 性能.

    主要方法:

    • 建议使用统一采样和有序根树索引 (球体测量基于球体图像表示 (Spherical Measure-Based Spherical Image Representation - SMSIR)) 的球体DNN.
    • 定义的球状卷积和窗口变压器操作,以利用球体上的本地和非本地相关性.
    • 推出了SMixFormer,这是一个集成球形卷积和自我注意的模块,用于增强功能提取.
    • 开发了一个球形变压器上下文模型,根据根植树索引进行排序,以改进建模.

    主要成果:

    • 拟议的球形DNN方法在传统标准 (JPEG,JPEG2000,BPG) 上表现出优越的性能.
    • 与基于最先进的学习的超前平面压缩模型相比,实现比特率降低超过16%.
    • 实验结果验证了统一采样和SMSIR框架用于球形图像压缩的有效性.

    结论:

    • 与基于投影的方法相比,球形DNN为球形图像压缩提供了更高效和有效的解决方案.
    • SMixFormer模块和球形变压器上下文模型显著提高了压缩性能.
    • 这项工作通过在较低的比特率下实现更高质量的球形图像,推动了VR内容交付领域的发展.