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Points of Difference to Kinect

Kinect
• Relaying on interpretation and predictive algorithms
  to determine the most probably upcoming pose
• Contains a large number of preloaded poses
• Each detected area in the scan space is matched
  with a potential body part and assigned the
  probability that it actually matches such body part
• Based on those probabilities, Kinect comes up with
  the most probably skeleton building on its
  experience and preprogrammed kinematics models.
  This skeleton is then outfitted as a 3D avatar.
                                                    1
Points of Difference to Kinect
Features                    Kinect                          Organic Motion
Speed                       30fps – does not track well     Adjustable from 30 to 200 fps
                            fast moves                      to track
Accuracy                    Low – Not a real 3d motion      High – In the mm range
                            tracking technology.
Full 3D tracking            No, it is based in predictive   Yes, provides full 3D real time
                            algorithms                      data
Bone Sizing                 Approximation                   Accurate
Foot tracking               Unknown                         Yes
Fingers Tracking            Unknown                         No
Head Tracking               Limited                         Yes
Biomechanics applications   No                              Yes
360 view                    No                              Yes
Latency                     250 millisecs                   50 millisecs
Resolution                  640x480                         640x480
# of people                 More than 2                     More than 2
Scanning area               1.2–3.5 m                       Scalable, up to 10m by 10m
                                                                                         2

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Points of difference between om and kinect

  • 1. Points of Difference to Kinect Kinect • Relaying on interpretation and predictive algorithms to determine the most probably upcoming pose • Contains a large number of preloaded poses • Each detected area in the scan space is matched with a potential body part and assigned the probability that it actually matches such body part • Based on those probabilities, Kinect comes up with the most probably skeleton building on its experience and preprogrammed kinematics models. This skeleton is then outfitted as a 3D avatar. 1
  • 2. Points of Difference to Kinect Features Kinect Organic Motion Speed 30fps – does not track well Adjustable from 30 to 200 fps fast moves to track Accuracy Low – Not a real 3d motion High – In the mm range tracking technology. Full 3D tracking No, it is based in predictive Yes, provides full 3D real time algorithms data Bone Sizing Approximation Accurate Foot tracking Unknown Yes Fingers Tracking Unknown No Head Tracking Limited Yes Biomechanics applications No Yes 360 view No Yes Latency 250 millisecs 50 millisecs Resolution 640x480 640x480 # of people More than 2 More than 2 Scanning area 1.2–3.5 m Scalable, up to 10m by 10m 2