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Datasets

 

Monocular RGB-D


(Update) Nov 2019: MANO fits on the data provided below and used in Hasson et al. ICCV'19
for sequences [01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 15, 16, 17, 18, 19, 20]:
MANO fits, Subject's personalized hand template and shape parameters.


Hand-Hand Interaction

 

Walking   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Crossing   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Crossing and Twisting   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Tips Touching
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Dancing   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Tips Blending
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Hugging   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Grasping   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Flying   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Rock Gesture
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Bunny Gesture
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Bunny Gesture (*)
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Flying (*)   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Rock Gesture (*)
          [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
   Camera Calibration   [Calibration]  
   Models (**)   [All]   [Hand_Right]   [Hand_Left]
Ground-Truth Joints   [Contained above in *All_Files* or *Files_noPCL*]
Sequences Info   [Dataset_ReadMe]   [Dataset_SequencesINFO]
   Fingertip Detector   [Sequences_and_Ground_Truth]   [Preview_Sequences_and_Ground_Truth]
   Supplementary Videos   [Results_Composition_onRGBD]   [Results_Composition_inPCL]  
[OURs_vs_FORTH]   [BenchmarkFORTH]   [CollisionDetection]  
[DetectionsAssignmentsExample]   [FingertipDetectorAnnotations]  
   Software to visualize results in 3D   [Files] or [Github]
   Software to visualize groundtruth   [Files] or [Github]

 

The material in this section originate from the GCPR'14 work of Tzionas et al.
Sequences marked with (*) are used just for comparison with the FORTH tracker.

 

Model-files marked with (**) do not contain sequence-specific files (.SKEL and .MOTION)



Hand-Object Interaction


                   
                   
                   

Moving a Ball with one hand   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Moving a Ball with two hands   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Bending a Pipe   [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Bending a Rope
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Moving a Ball with one hand and
occlusion of a manipulating finger
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Moving a Cube with one hand
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Moving a Cube with one hand and
occlusion of a manipulating finger
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
   Failure Case - Seq NOT in dataset:   some files below are common (dublicate links are inactive)
Moving a Ball with a hand platform
(without fingertip detector)
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
Moving a Ball with a hand platform
(with a fingertip detector)
  [All_Files]   [Files_noPCL]   [Preview]   [Models/Motion]   [Videos_In/Results]
   Camera Calibration   [Calibration]  
   Models (**)   [All]   [Hand_Right]   [Hand_Left]   [Ball]   [Cube]   [Pipe]   [Rope]
Ground-Truth Joints   [Contained above in *All_Files* or *Files_noPCL*]
Sequences Info   [Dataset_ReadMe]   [Dataset_SequencesINFO]
   Fingertip Detector
(same as in previous section)
  [Sequences_and_Ground_Truth]   [Preview_Sequences_and_Ground_Truth]
   Supplementary Videos   [ResultsOverview_AllSequences]   [HandObjectInteraction_NewIJCVseq]  
[CollisionDetection]   [DetectionsAssignmentsExample]  
[FingertipDetectorAnnotations]  
[FailueCase_DetectorOffOn]   [FailueCase_DetectorOffOn_Slow]  

   Software to visualize results in 3D   [Files] or [Github]
   Software to visualize groundtruth   [Files] or [Github]

 

The material in this section appear for the first time in this work.

 

Model-files marked with (**) do not contain sequence-specific files (.SKEL and .MOTION)



Multicamera RGB



Original datasets used in the paper (compressed using LJPG)

 

   Finger Tips Touching and Praying   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Fingers Crossing and Twisting   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Fingers Folding   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Fingers Walking   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Holding and Passing a Ball   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Taking off a Ring   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Paper Folding   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Rope Folding   [01, 02, 03, 04, 05, 06, 07, 08]   [Calibration]   [Motion_Results]
   Models   [Hands]   [Ball]   [Ring]   [Paper]   [Rope]   [Hand 3DMax]
   File format   [FileFormat.txt]   [c++ bone struct code]
   Ground-Truth Joints   [Holding and Passing a Ball]                                                     
   Suppl. Videos - Results   [All_sequences_excluding_Paper_&_Rope]   [Paper_&_Rope]
[HandObjectInteraction_NewIJCVseq]  
   Software to visualize results in 3D   [Files]
   3DS Max Exporter   [Files]

 

The material in this section originate from the ECCV'12 work of Ballan et al.
The Rope and Paper sequences though are first presented in this work.
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