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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Gottfried, J. M., Fehr, J., & Garbe, C. S. (2011). Computing range flow from multi-modal Kinect data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6938 LNCS, pp. 758–767). https://doi.org/10.1007/978-3-642-24028-7_70
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