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

Toward Wide-Field, Extended-Range 3D Vision: A Biomimetic Curved Compound-Eye Imaging System.

Sensors (Basel, Switzerland)·2026
Same author

Nematic Alignment of Composite Silver-Coated Gold Nanorods and Cellulose Nanocrystals.

Nanomaterials (Basel, Switzerland)·2025
Same author

Novel Fabry-Pérot Filter Structures for High-Performance Multispectral Imaging with a Broadband from the Visible to the Near-Infrared.

Sensors (Basel, Switzerland)·2025
Same author

Adaptive superposition compound eyes for perceptions under distinct light levels.

Science advances·2025
Same author

Hybrid Space Calibrated 3D Network of Diffractive Hyperspectral Optical Imaging Sensor.

Sensors (Basel, Switzerland)·2024
Same author

Optical fibre based artificial compound eyes for direct static imaging and ultrafast motion detection.

Light, science & applications·2024

相关实验视频

Updated: May 28, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

15.6K

使用快照光谱成像方法精确实时实时面部检测.

Zhihai Wang1,2, Shuai Wang1, Weixing Yu1,2

  • 1Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

这项研究引入了一种使用光谱成像的新型实时面部检测 (LFD) 方法,其准确度超过98%,检测时间低于1秒. 这种先进的LFD系统为身份验证提供了更快,更准确的替代方案.

关键词:
现场面部检测 面部检测 面部检测神经网络的神经网络的神经网络一个光谱图像.

更多相关视频

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
00:07

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.0K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

692

相关实验视频

Last Updated: May 28, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

15.6K
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
00:07

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.0K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

692

科学领域:

  • 生物识别信息 生物识别信息
  • 计算机视觉 计算机视觉
  • 频谱学是一种光谱学.

背景情况:

  • 传统的面部识别依赖于2D/3D图像,限制了活力检测.
  • 现有的方法在实时识别验证的速度和准确性方面面临挑战.

研究的目的:

  • 开发一种新的实时面部检测 (LFD) 方法,使用快照光谱成像.
  • 提高识别验证的面部识别系统的准确性和速度.

主要方法:

  • 利用快照光谱成像和计算光谱重建 (提霍诺夫规范化).
  • 采用Dlib面部检测和欧几里德距离用于面部面积提取.
  • 在光谱数据库上训练了一个卷积神经网络 (CNN) 用于寿命预测.

主要成果:

  • 在各种样本中实现了99%以上的光谱重建保真度.
  • 美国有线电视新闻网 (CNN) 模型在预测生命的准确性超过98%.
  • 系统检测时间始终低于1秒,优于现有的光谱成像LFD方法.

结论:

  • 拟议的光谱成像LFD方法为准确,高度集成的视频LFD应用提供了优质的替代方案.
  • 该系统的速度和准确性显示出在识别领域的更广泛应用的巨大潜力.
  • 像素级活力检测实验验证实了该方法的理论结果和实际可行性.