Robust Component Analysis for Facial Analysis and Recognition in the Wild

用于野外面部分析和识别的鲁棒成分分析

• 批准号: 1822497
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1822497
• 关键词: Robust; Component; Analysis; Facial; Recognition

The objective of this project is the development of methods for unsupervised extraction of low-dimensional representations from high-dimensional temporal data, capable of handling "in the wild" data.Application of the aforementioned methods may include:-Person verification/recognition based on motion data-Spatial and temporal alignment and unsupervised segmentation of human behaviour-Unsupervised measurement of human behavior similarity based on visual data

该项目的目标是开发从高维时间数据中无监督地提取低维表示的方法，能够在野外处理数据。上述方法的应用可以包括：-基于运动数据的人验证/识别-人类行为的时空对准和无监督分割-基于视觉数据的人类行为相似性的无监督测量