TY - JOUR
T1 - Cameras Seeing Cameras Geometry
AU - Brezov, Danail
AU - Werman, Michael
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/7
Y1 - 2022/7
N2 - We study several theoretical aspects of both 2D and 3D intra multi-view geometry of calibrated cameras when all that they can reliably recognize is each other. Starting with minimal reconstructable configurations, we propose a method for obtaining the position-orientation structure of such camera ensembles, up to a global similarity. In the 3D setting we base our analysis on Rodrigues’ vector techniques familiar from mechanics and robotics. We also examine the average number of visible cameras and discuss some kinematic aspects of the problem.
AB - We study several theoretical aspects of both 2D and 3D intra multi-view geometry of calibrated cameras when all that they can reliably recognize is each other. Starting with minimal reconstructable configurations, we propose a method for obtaining the position-orientation structure of such camera ensembles, up to a global similarity. In the 3D setting we base our analysis on Rodrigues’ vector techniques familiar from mechanics and robotics. We also examine the average number of visible cameras and discuss some kinematic aspects of the problem.
UR - http://www.scopus.com/inward/record.url?scp=85129125305&partnerID=8YFLogxK
U2 - 10.1007/s00006-022-01211-5
DO - 10.1007/s00006-022-01211-5
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85129125305
SN - 0188-7009
VL - 32
JO - Advances in Applied Clifford Algebras
JF - Advances in Applied Clifford Algebras
IS - 3
M1 - 30
ER -