Knowledge Commons of Institute of Automation,CAS
PEAN: 3D Hand Pose Estimation Adversarial Network | |
Linhui Sun![]() ![]() ![]() ![]() | |
2021-01 | |
会议名称 | In Proceedings of the International Conference on Pattern Recognition |
会议日期 | 2021-1 |
会议地点 | Milan, Italy |
摘要 | Despite recent emerging research attention, 3D hand pose estimation still suffers from the problems of predicting inaccurate or invalid poses which conflict with physical and kinematic constraints. To address these problems, we propose a novel 3D hand pose estimation adversarial network (PEAN) which can implicitly utilize such constraints to regularize the prediction in an adversarial learning framework. PEAN contains two parts: a 3D hierarchical estimation network (3DHNet) to predict hand pose, which decouples the task into multiple subtasks with a hierarchical structure; a pose discrimination network (PDNet) to judge the reasonableness of the estimated 3D hand pose, which back-propagates the constraints to the estimation network. During the adversarial learning process, PDNet is expected to distinguish the estimated 3D hand pose and the ground truth, while 3DHNet is expected to estimate more valid pose to confuse PDNet. In this way, 3DHNet is capable of generating 3D poses with accurate positions and adaptively adjusting the invalid poses without additional prior knowledge. Experiments show that the proposed 3DHNet does a good job in predicting hand poses, and introducing PDNet to 3DHNet does further improve the accuracy and reasonableness of the predicted results. As a result, the proposed PEAN achieves the state-of-the-art performance on three public hand pose estimation datasets. |
收录类别 | EI |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/54538 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Yifan Zhang |
作者单位 | 1.NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, 100049, Beijing, China |
推荐引用方式 GB/T 7714 | Linhui Sun,Yifan Zhang,Jian Cheng,et al. PEAN: 3D Hand Pose Estimation Adversarial Network[C],2021. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
pean.pdf(1613KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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