Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction
This dataset addresses the need for standardized benchmarks in human motion tracking and 3D reconstruction, but it is incremental as it builds on existing synthetic data approaches.
The paper introduces a synthetic dataset for evaluating non-rigid 3D human reconstruction from RGB-D cameras, providing ground truth geometry, skeleton, and skinning weights for seven motion sequences.
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 a single human model. For each motion sequence per-frame ground truth geometry and ground truth skeleton are given. The dataset also contains skinning weights of the human model. More information about the dataset can be found at: https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/