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I-Corps: Facial image analysis system

I-Corps: Facial image analysis system
I-Corps:面部图像分析系统
批准号:
1635174
负责人:
Yun Fu
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-04-15 至 2017-09-30

项目摘要

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中文摘要
翻译
该项目基于人工智能(AI)研究,专注于自动数字面部图像分析,应用范围从安全和国防到化妆品。该团队开发了“镜子”,这是一种面部分析系统,可以在许多应用领域具有广泛的相关性。例如,他们的技术可以作为“智能家居”套件的一个组成部分,促进智能硬件在广泛领域的发展,集成到安全应用的面部检测软件中,并用于虚拟媒体或人类图像增强。这项工作的预期结果也可能有助于构建面部分析算法的新方法。通过I-Corps客户发现,使用增强现实技术,mirmirror的初步商业测试将侧重于化妆品分析,包括基于丰富面部属性的化妆品推荐系统,从而在虚拟化妆品市场中引入新的商业模式。在用例生成的大数据池的支持下,该人工智能系统将发展成为任何应用领域的专家,例如面部识别、化妆选择、图像修改等。除了虚拟试妆等应用之外,这项创新技术还可以应用于许多其他领域。为了安全和防御,这项技术可以识别,例如,用浓妆伪装的罪犯。这一过程对于许多以安全为中心的组织和活动尤其重要,例如警察部门、安全机构和公共空间监视系统,在这些组织和活动中需要提高嫌疑人核实准确性的技术。
英文摘要
This project, based on artificial intelligent (AI) research, focuses on automatic digital facial image analysis with applications that range from security and defense to cosmetics.This team developed "Emirror", a facial-analysis system that can have broad relevance in many application areas. For example, their technology could serve as a component of "Smart Home" suites, contributing to the development of smart hardware across a broad arena, integrated into facial detection software for security applications, and, used in virtual media or human image enhancement. The outcomes anticipated from this effort may also contribute to new ways of constructing facial analysis algorithms. Using augmented reality technology, the initial commercial testing of Emirror through I-Corps customer discovery, will focus on cosmetics analysis - including a recommendation system for makeup based on rich facial attributes, thus engaging a new business model in a virtual cosmetic market. Supported by a big-data pool, generated by use cases, this AI system evolves into an expert in whatever field of application is in use -- such as facial recognition, make-up selection, image modification, etc. Beyond applications like virtual makeup try-on, this innovative technology can also be applied to many other fields. For security and defense, this technique can identify, for example, criminals who are camouflaged using heavy makeup. This process is especially important for many safety-centric organizations and activities, such as police departments, security agencies, and public space surveillance systems, where techniques are needed that will improve suspect-verification accuracy.
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I-Corps: Multi-Cue Facial Restoration (McFAR) for Recognition and Identification
  • 批准号:
    2224289
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2022
  • 负责人:
    Yun Fu
  • 依托单位:
EAGER: Vision-Based Activity Forecasting by Mining Temporal Causalities
  • 批准号:
    1651902
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.0万
  • 财政年份:
    2016
  • 负责人:
    Yun Fu
  • 依托单位:
CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation
  • 批准号:
    1314484
  • 项目类别:
    Standard Grant
  • 资助金额:
    $101.14万
  • 财政年份:
    2012
  • 负责人:
    Yun Fu
  • 依托单位:
CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation
  • 批准号:
    1135660
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2011
  • 负责人:
    Yun Fu
  • 依托单位:
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