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Direct three-dimensional head pose estimation from Kinect-type sensors
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.
KTH, School of Electrical Engineering (EES), Communication Theory.
2014 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 50, no 4, 268-269 p.Article in journal (Refereed) Published
Abstract [en]

A direct method for recovering three-dimensional (3D) head motion parameters from a sequence of range images acquired by Kinect sensors is presented. Based on the range images, a new version of the optical flow constraint equation is derived, which can be used to directly estimate 3D motion parameters without any need of imposing other constraints. Since all calculations with the new constraint equation are based on the range images, Z(x, y, t), the existing techniques and experiences developed and accumulated on the topic of motion from optical flow can be directly applied simply by treating the range images as normal intensity images I(x, y, t). In this reported work, it is demonstrated how to employ the new optical flow constraint equation to recover the 3D motion of a moving head from the sequences of range images, and furthermore, how to use an old trick to handle the case when the optical flow is large. It is shown, in the end, that the performance of the proposed approach is comparable with that of some of the state-of-the-art approaches that use range data to recover 3D motion parameters.

Place, publisher, year, edition, pages
2014. Vol. 50, no 4, 268-269 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-146579DOI: 10.1049/el.2013.2489ISI: 000331405200019Scopus ID: 2-s2.0-84894041910OAI: oai:DiVA.org:kth-146579DiVA: diva2:724646
Note

QC 20150624

Available from: 2014-06-13 Created: 2014-06-12 Last updated: 2017-12-05Bibliographically approved

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  • apa
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  • de-DE
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  • nn-NB
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Output format
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