HOnnotate: A method for 3D Annotation of Hand and Object Poses

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

“…The major challenge in using diverse datasets is that their annotation types vary. For example, there exist available ground-truth joint angle parameters in FreiHand [63] and HO-3D [12] datasets, while others do not contain it. Furthermore, the details of hand annotations including skeleton hierarchy and scales are also different across datasets.…”

“…HO-3D. HO-3D dataset [12] is a dataset aiming to study the interaction between hands and objects. The dataset has 3D joints and MANO pose parameters for hands, and also has 3D bounding boxes for objects the hands interact with.…”

“…To polish the dataset, we filter out erroneous samples where hands are not visible or too small. "Subset-01" means using the combination of datasets FreiHADN [63] and HO-3D [12]. "Subset-02" means using the combination of datasets: STB [59], RHD [62] and MTC [55].…”

“…Similar to the conclusion from the quantitative study, the qualitative results show that incorporating more datasets can increase the models' generalization ability and generate more precise results for in-the-wild images. In the figure, "Subset-01" means using the combination of datasets FreiHADN [63] and HO-3D [12]. "Subset-02" means using the combination of datasets: STB [59], RHD [62] and MTC [55].…”