Computing range flow from multi-modal Kinect data

  • Authors:
  • Jens-Malte Gottfried;Janis Fehr;Christoph S. Garbe

  • Affiliations:
  • Heidelberg Collaboratory for Image Processing, University of Heidelberg;Heidelberg Collaboratory for Image Processing, University of Heidelberg and Intel Visual Computing Institute, Saarland University, Saarbrücken;Interdisciplinary Center for Scientific Computing, University of Heidelberg and Intel Visual Computing Institute, Saarland University, Saarbrücken

  • Venue:
  • ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we present a framework for range flow estimation from Microsoft's multi-modal imaging device Kinect. We address all essential stages of the flow computation process, starting from the calibration of the Kinect, over the alignment of the range and color channels, to the introduction of a novel multi-modal range flow algorithm which is robust against typical (technology dependent) range estimation artifacts.