KinectAvatar: fully automatic body capture using a single kinect

  • Authors:
  • Yan Cui;Will Chang;Tobias Nöll;Didier Stricker

  • Affiliations:
  • Augmented Vision, DFKI, Germany;Augmented Vision, DFKI, Germany;Augmented Vision, DFKI, Germany;Augmented Vision, DFKI, Germany

  • Venue:
  • ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
  • Year:
  • 2012

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Abstract

We present a novel scanning system for capturing a full 3D human body model using just a single depth camera and no auxiliary equipment. We claim that data captured from a single Kinect is sufficient to produce a good quality full 3D human model. In this setting, the challenges we face are the sensor's low resolution with random noise and the subject's non-rigid movement when capturing the data. To overcome these challenges, we develop an improved super-resolution algorithm that takes color constraints into account. We then align the super-resolved scans using a combination of automatic rigid and non-rigid registration. As the system is of low price and obtains impressive results in several minutes, full 3D human body scanning technology can now become more accessible to everyday users at home.