4DFAB

4DFAB 是一个大型动态高分辨率 3D 人脸数据库，其中包含在五年期间（2012 年至 2017 年）的四个不同会话中捕获的 180 个对象的记录，总共产生超过 1,800,000 个 3D 网格。它包含显示自发和摆姿势面部行为的受试者的 4D 视频。该数据库可用于面部和面部表情识别，以及行为生物识别。它还可用于学习非常强大的混合形状，以对面部行为进行参数化。4DFAB is a large-scale dynamic high-resolution 3D facial database, containing recordings of 180 subjects captured across four distinct sessions over a five-year period (2012 to 2017), totaling over 1,800,000 3D meshes. It includes 4D videos of subjects displaying both spontaneous and posed facial behaviors. This database can be used for facial and facial expression recognition, as well as behavioral biometrics. It can also be applied to learning robust blend shapes for the parametrization of facial behaviors.

搜集汇总

背景与挑战

背景概述

4DFAB是一个大型动态高分辨率3D人脸数据库，包含180个对象在五年间四个会话中捕获的超过180万个3D网格，记录自发和摆姿势面部行为。该数据库适用于面部表情识别、行为生物识别以及参数化面部行为学习。