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SHR Neuro Cancer Cardio Lipid Metab Microb

Huber, P; Cagran, C; Müller, W.
An algorithm to correct for camera vibrations in optical motion tracking systems.
J Biomech. 2011; 44(11):2172-2176 Doi: 10.1016/j.jbiomech.2011.05.019
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Leading authors Med Uni Graz
Huber Philipp Siegfried
Co-authors Med Uni Graz
Cagran Claus Philipp
Müller Wolfram
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Abstract:
Recording and reconstruction of 3D motion capturing data relies on fixed, static camera positions with given inter-camera distances in a laboratory frame. To overcome this limitation, we present a correction algorithm that allows us to address camera movements in moving camera setups. Camera vibrations are identified by comparison of specialized target positions in dynamic measurements with their respective positions in static trials. This results in a 2D shift vector Δw with which the individual camera streams are corrected. The capabilities of this vibration reduction procedure are demonstrated in a test setup of four cameras that are (i) separately and (ii) simultaneously perturbed while capturing a static test object. In the former case, the correction algorithm is capable of reducing the reconstruction residuals to the order of the calibrations residual and enables reconstruction in the latter case, which is impossible without any correction. This approach extends the application of marker-based infrared motion tracking to moving and even accelerated camera setups.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Image Processing, Computer-Assisted - instrumentation
Imaging, Three-Dimensional -
Motion -
Movement -
Optical Devices -
Photography - instrumentation
Vibration -
Video Recording -

Find related publications in this database (Keywords)
Motion capturing
Moving cameras
Projective geometry
Specialized targets
Correction algorithm
Reconstruction residuals
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