Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction

We introduce a synthetic dataset for evaluating non-rigid 3D human reconstruction based on conventional RGB-D cameras. The dataset consist of seven motion sequences of different actions of a single human model. For each motion sequence per-frame ground truth geometry of the human model and ground truth skeleton are given. The dataset also contains skinning weights of the human model. Detailed documentation js available in the https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/

我们提出一种用于评估基于传统RGB-D相机的非刚性3D人体重建（non-rigid 3D human reconstruction）的合成数据集。该数据集包含单个人体模型不同动作的七个运动序列。对于每个运动序列，提供了人体模型的逐帧真值几何与真值骨骼。数据集还包含该人体模型的蒙皮权重（skinning weights）。详细文档可在https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/获取。