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User Boresighting for AR Calibration: A Preliminary Analysis
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska högskolan.
Human Systems Integration Division, NASA Ames Research Center.
2008 (engelsk)Inngår i: Proceedings of the IEEE Virtual Reality Conference 2008, IEEE , 2008, s. 43-46Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The precision with which users can maintain boresight alignment between visual targets at different depths is recorded for 24 subjects using two different boresight targets. Subjects' normal head stability is established using their Romberg coefficients. Weibull distributions are used to describe the probabilities of the magnitude of head positional errors and the three dimensional cloud of errors is displayed by orthogonal two dimensional density plots. These data will lead to an understanding of the limits of user introduced calibration error in augmented reality systems.

sted, utgiver, år, opplag, sider
IEEE , 2008. s. 43-46
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-72053DOI: 10.1109/VR.2008.4480748ISBN: 978-1-4244-1971-5 (tryckt)OAI: oai:DiVA.org:liu-72053DiVA, id: diva2:456337
Konferanse
IEEE Virtual Reality Conference, 2008. VR '08, 8-12 March, Reno, Nevada, USA
Tilgjengelig fra: 2011-11-14 Laget: 2011-11-14 Sist oppdatert: 2011-11-21bibliografisk kontrollert
Inngår i avhandling
1. Pinhole Camera Calibration in the Presence of Human Noise
Åpne denne publikasjonen i ny fane eller vindu >>Pinhole Camera Calibration in the Presence of Human Noise
2011 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The research work presented in this thesis is concerned with the analysis of the human body as a calibration platform for estimation of a pinhole camera model used in Augmented Reality environments mediated through Optical See-Through Head-Mounted Display. Since the quality of the calibration ultimately depends on a subject’s ability to construct visual alignments, the research effort is initially centered around user studies investigating human-induced noise, such as postural sway and head aiming precision. Knowledge about subject behavior is then applied to a sensitivity analysis in which simulations are used to determine the impact of user noise on camera parameter estimation.

Quantitative evaluation of the calibration procedure is challenging since the current state of the technology does not permit access to the user’s view and measurements in the image plane as seen by the user. In an attempt to circumvent this problem, researchers have previously placed a camera in the eye socket of a mannequin, and performed both calibration and evaluation using the auxiliary signal from the camera. However, such a method does not reflect the impact of human noise during the calibration stage, and the calibration is not transferable to a human as the eyepoint of the mannequin and the intended user may not coincide. The experiments performed in this thesis use human subjects for all stages of calibration and evaluation. Moreover, some of the measurable camera parameters are verified with an external reference, addressing not only calibration precision, but also accuracy.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2011. s. 113
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1402
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-72055 (URN)978-91-7393-053-6 (ISBN)
Disputas
2011-11-04, Domteatern, Visualiseringscenter C, Kungsgatan 54, Norrköping, 09:30 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2011-11-14 Laget: 2011-11-14 Sist oppdatert: 2019-12-19bibliografisk kontrollert

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