@article{WOS:000251000400004,
abstract = {Processing images acquired by multi-camera systems is nowadays an
effective and convenient way of performing 3D reconstruction. The basic
output, i.e. the 3D location of points, can easily be further processed
to also acquire information about additional kinematic data: velocity
and acceleration. Hence, many such reconstruction systems are referred
to as 3D kinematic systems and are very broadly used, among other tasks,
for human motion analysis. A prerequisite for the actual reconstruction
of the unknown points is the calibration of the multi-camera system. At
present, many popular 3D kinematic systems offer so-called wand
calibration, using a rigid bar with attached markers, which is from the
end user's point of view preferred over many traditional methods. During
this work a brief criticism on different calibration strategies is given
and typical calibration approaches for 3D kinematic systems are
explained. In addition, alternative ways of calibration are proposed,
especially for the initialization stage. More specifically, the proposed
methods rely not only on the enforcement of known distances between
markers, but also on the orthogonality of two or three rigidly linked
wands. Besides, the proposed ideas utilize common present calibration
tools and shorten the typical calibration procedure. The obtained
reconstruction accuracy is quite comparable with that obtained by
commercial 3D kinematic systems.},
address = {ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES},
author = {Pribanic, Tomislav and Sturm, Peter and Cifrek, Mario},
doi = {10.1007/s00138-007-0068-0},
issn = {0932-8092},
journal = {MACHINE VISION AND APPLICATIONS},
keywords = {calibration; 3D kinematic system},
month = dec,
number = {6},
pages = {367--381},
publisher = {SPRINGER},
title = {{Calibration of 3D kinematic systems using orthogonality constraints}},
type = {Article},
volume = {18},
year = {2007}
}

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At present, many popular 3D kinematic systems offer so-called wand calibration, using a rigid bar with attached markers, which is from the end user's point of view preferred over many traditional methods. During this work a brief criticism on different calibration strategies is given and typical calibration approaches for 3D kinematic systems are explained. In addition, alternative ways of calibration are proposed, especially for the initialization stage. More specifically, the proposed methods rely not only on the enforcement of known distances between markers, but also on the orthogonality of two or three rigidly linked wands. Besides, the proposed ideas utilize common present calibration tools and shorten the typical calibration procedure. The obtained reconstruction accuracy is quite comparable with that obtained by commercial 3D kinematic systems.","address":"ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES","author":[{"propositions":[],"lastnames":["Pribanic"],"firstnames":["Tomislav"],"suffixes":[]},{"propositions":[],"lastnames":["Sturm"],"firstnames":["Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Cifrek"],"firstnames":["Mario"],"suffixes":[]}],"doi":"10.1007/s00138-007-0068-0","issn":"0932-8092","journal":"MACHINE VISION AND APPLICATIONS","keywords":"calibration; 3D kinematic system","month":"December","number":"6","pages":"367–381","publisher":"SPRINGER","title":"Calibration of 3D kinematic systems using orthogonality constraints","volume":"18","year":"2007","bibtex":"@article{WOS:000251000400004,\nabstract = {Processing images acquired by multi-camera systems is nowadays an\neffective and convenient way of performing 3D reconstruction. The basic\noutput, i.e. the 3D location of points, can easily be further processed\nto also acquire information about additional kinematic data: velocity\nand acceleration. Hence, many such reconstruction systems are referred\nto as 3D kinematic systems and are very broadly used, among other tasks,\nfor human motion analysis. A prerequisite for the actual reconstruction\nof the unknown points is the calibration of the multi-camera system. At\npresent, many popular 3D kinematic systems offer so-called wand\ncalibration, using a rigid bar with attached markers, which is from the\nend user's point of view preferred over many traditional methods. During\nthis work a brief criticism on different calibration strategies is given\nand typical calibration approaches for 3D kinematic systems are\nexplained. In addition, alternative ways of calibration are proposed,\nespecially for the initialization stage. More specifically, the proposed\nmethods rely not only on the enforcement of known distances between\nmarkers, but also on the orthogonality of two or three rigidly linked\nwands. Besides, the proposed ideas utilize common present calibration\ntools and shorten the typical calibration procedure. The obtained\nreconstruction accuracy is quite comparable with that obtained by\ncommercial 3D kinematic systems.},\naddress = {ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES},\nauthor = {Pribanic, Tomislav and Sturm, Peter and Cifrek, Mario},\ndoi = {10.1007/s00138-007-0068-0},\nissn = {0932-8092},\njournal = {MACHINE VISION AND APPLICATIONS},\nkeywords = {calibration; 3D kinematic system},\nmonth = dec,\nnumber = {6},\npages = {367--381},\npublisher = {SPRINGER},\ntitle = {{Calibration of 3D kinematic systems using orthogonality constraints}},\ntype = {Article},\nvolume = {18},\nyear = {2007}\n}\n","author_short":["Pribanic, T.","Sturm, P.","Cifrek, M."],"key":"WOS:000251000400004","id":"WOS:000251000400004","bibbaseid":"pribanic-sturm-cifrek-calibrationof3dkinematicsystemsusingorthogonalityconstraints-2007","role":"author","urls":{},"keyword":["calibration; 3D kinematic system"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/rTKwnBhyGKSSptYtt/My Collection.bib","dataSources":["DY3AeP9t2QujfB78L","MpTxM7aR49zFotABd"],"keywords":["calibration; 3d kinematic system"],"search_terms":["calibration","kinematic","systems","using","orthogonality","constraints","pribanic","sturm","cifrek"],"title":"Calibration of 3D kinematic systems using orthogonality constraints","year":2007}