TY - JOUR
T1 - Camera pose estimation from lines
T2 - a fast, robust and general method
AU - Wang, Ping
AU - Xu, Guili
AU - Cheng, Yuehua
AU - Yu, Qida
N1 - Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - In this paper, we revisit the perspective-n-line problem and propose a closed-form solution that is fast, robust and generally applicable. Our main idea is to formulate the pose estimation problem into an optimal problem. Our method only needs to solve a fifteenth-order and a fourth-order univariate polynomial, respectively, which makes the processes more easily understood and significantly improves the performance. Experiment results show that our method offers accuracy and precision comparable or better than existing state-of-the-art methods, but with significantly lower computational cost. This superior computational efficiency is particularly suitable for real applications.
AB - In this paper, we revisit the perspective-n-line problem and propose a closed-form solution that is fast, robust and generally applicable. Our main idea is to formulate the pose estimation problem into an optimal problem. Our method only needs to solve a fifteenth-order and a fourth-order univariate polynomial, respectively, which makes the processes more easily understood and significantly improves the performance. Experiment results show that our method offers accuracy and precision comparable or better than existing state-of-the-art methods, but with significantly lower computational cost. This superior computational efficiency is particularly suitable for real applications.
KW - Absolute position and orientation
KW - Camera pose estimation
KW - Computer vision
KW - Perspective-n-line problem (PnL)
UR - http://www.scopus.com/inward/record.url?scp=85061930952&partnerID=8YFLogxK
U2 - 10.1007/s00138-019-01012-0
DO - 10.1007/s00138-019-01012-0
M3 - Article
AN - SCOPUS:85061930952
SN - 0932-8092
VL - 30
SP - 603
EP - 614
JO - Machine Vision and Applications
JF - Machine Vision and Applications
IS - 4
ER -