TL;DR本文提出了一种基于深度学习的新方法(HMDN),用于解决基于图像预测 3D 手模型的姿态参数的问题,该方法可以处理自我遮挡问题,并在两个有遮挡的数据集上超越现有的方法。
Abstract
Learning and predicting the pose parameters of a 3d hand model given an
image, such as locations of hand joints, is challenging due to large viewpoint
changes and articulations, and severe self-occlusions exhibited particularly in
egocentric views. Both feature learning and prediction