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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Altered States of Awareness01:06

Altered States of Awareness

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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
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Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
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Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

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Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
680
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing
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一个分层的多分辨率自我监督的框架,用于高保真度的3D面部重建,使用可学习的Gabor-Aware纹理建模.

Pichet Mareo1, Rerkchai Fooprateepsiri2

  • 1Business Administration and Information Technology Faculty, Rajamangala University of Technology Tawan-ok, Bangkok 10400, Thailand.

Journal of imaging
|January 27, 2026
PubMed
概括

本研究介绍了3D面部重建的层次框架,从单个图像中提高了细节精度. 该方法增强了几何和纹理的真实性,为复杂的面部数据提供了强大的解决方案.

关键词:
3D面部重建 3D面部重建马尔科夫随机场损失随机场损失盖博尔意识到纹理增强,增强纹理高频几何细节的高频几何细节.多分辨率建模的多分辨率建模.自主监督学习学习基于波形的细节感知.

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科学领域:

  • 计算机视觉 计算机视觉
  • 计算机图形 计算机图形
  • 机器学习 机器学习

背景情况:

  • 从单个图像进行3D面部重建是很困难的,因为深度模糊,纹理纠.
  • 现有的方法在细微细节和对变化的稳定性方面扎.

研究的目的:

  • 提出一个分层的多分辨率自我监督框架 (HMR-Framework),用于高保真度的3D面部重建.
  • 在一个统一的管道内逐步重建粗,中和细尺度的面部几何.
  • 为了增强精细尺度的纹理保真性,并保持边缘感知特征.

主要方法:

  • 层次的多个解决方案自我监督框架 (HMR框架).
  • 通过3D形态模型回归进行粗的几何预估.
  • 使用顶点变形地图与全球-本地马尔科夫随机场损失进行中等规模的精细化.
  • 可学习的Gabor感知质感增强模块用于空间频率脱.
  • 基于波形的细节感知损失,用于边缘感知纹理保护.

主要成果:

  • 与最先进的方法相比,HMR框架实现了优越的细节重建.
  • 该框架在各种姿势变化中表现出强度.
  • 层次设计增强了几何尺度上的语义一致性.

结论:

  • 拟议的HMR-Framework提供了一个功能解决方案,用于从单眼图像中高准确度的3D面部重建.
  • 该方法有效地解决了深度模糊性和多尺度纹理纠的挑战.
  • 层次化的方法提高了3D面部建模的准确性和稳定性.