Dexter+Object: A Dataset for Evaluation of Joint Hand+Object Tracking ================================================================================ Dexter+Object is a dataset for evaluating algorithms for joint hand and object tracking. It consists of 6 sequences with 2 actors, and varying interactions with a simple object. Fingertip positions and cuboid corners were manually annotated for all sequences. This dataset accompanies the ECCV 2016 paper, Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input. -------------------- License -------------------- If you use this dataset, you are required to cite the following paper. [1] S. Sridhar, F. Mueller, M. Zollhöfer, D. Casas, A. Oulasvirta, C. Theobalt Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input European Conference on Computer Vision (ECCV) 2016, Amsterdam, The Netherlands. -------------------- Downloads -------------------- Compressed Zip: http://resources.mpi-inf.mpg.de/handtracker/data/dexter+object.zip Browse: http://resources.mpi-inf.mpg.de/handtracker/data/dexter+object -------------------- Data -------------------- - RGB: Creative Senz3D color camera - Depth: Creative Senz3D close range TOF depth camera co-located with the color camera - Ground Truth: Manually annotated on depth data for 3D fingertip positions, and 3 object (cuboid) corners - Depth Camera Intrinsics: Can be used to backproject depth image to create a 3D point cloud -------------------- Evaluation Metric -------------------- Please see the supplementary document for the definition of the error measure. We recommend using the same measure to facilitate direct comparison with other methods. http://handtracker.mpi-inf.mpg.de/projects/RealtimeHO/content/RealtimeHO_ECCV2016_SM.pdf -------------------- Sequence Details -------------------- - Grasp1: User grasping a small cuboid. - Grasp2: User grasping a big cuboid. - Pinch: User pinching a small cuboid. - Rigid: User moving rigidly while holding a small cuboid. - Rotate: User holding and rotating a small cuboid. - Occlusion: A small cuboid occluding the user's hand. -------------------- Dataset Structure -------------------- The root directory (containing this file) consists of 4 sub-directories. - data: All the data resides here. - SEQUENCE_NAME - color: Color images in BMP format. - depth: Depth map as 16-bit PNG. Background/invalid pixels have a value of 32001. - annotations: Contains manually annotated data for fingertip positions and 3 cuboid corners. See README.txt inside the directory for more details. - preview: Preview videos of all the sequences in the dataset and a montage of results from our tracker. - scripts: Bash scripts used to make previews and to compute all 8 cuboid corners from the annotated 3 corners. - calibration: Intrinsic calibration matrix for depth map backprojection. - hand_dimensions.pdf: Sketches of the hands of both users specifying dimensions in centimeters. -------------------- Contact -------------------- For questions about the dataset please contact Srinath Sridhar or Franziska Mueller {ssridhar, frmueller}@mpi-inf.mpg.de