HO-3D is a dataset providing image sequences of various hand-object interaction scenarios annotated with the 3D pose of the hand and the object and was originally introduced as HO-3D_v2. The annotations were obtained automatically using an optimization method, 'HOnnotate', introduced in the original paper. HO-3D_v3 provides more accurate annotations for both the hand and object poses thus resulting in better estimates of contact regions between the hand and the object. In this report, we elaborate on the improvements to the HOnnotate method and provide evaluations to compare the accuracy of HO-3D_v2 and HO-3D_v3. HO-3D_v3 results in 4mm higher accuracy compared to HO-3D_v2 for hand poses while exhibiting higher contact regions with the object surface.

翻译：HO-3D是一个数据集,提供与手和物体的 3D 姿势附加说明的各种手- 物体相互作用情景的图像序列,最初作为HO-3D_v2采用。 说明是用原始论文中介绍的优化方法“ HONNotate” 自动获得的。 HO-3D_v3 提供了手和物体构成的更准确的说明,从而更好地估计了手与物体之间的接触区域。我们在本报告中详细阐述了对HO- 3D_ v2 和 HO-3D_v3. HO-3D_v3 的精确度,以比较HO-3D_v3 的精确度,结果为4毫米,而手姿的精确度则高于HA-3D_ v2,同时展示与物体表面接触的区域较高。