TY - GEN
T1 - Planar AnP
T2 - 2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020
AU - Wang, Yusheng
AU - Ji, Yonghoon
AU - Woo, Hanwool
AU - Tamura, Yusuke
AU - Tsuchiya, Hiroshi
AU - Yamashita, Atsushi
AU - Asama, Hajime
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 19K21547, 20K19898.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/5
Y1 - 2020/10/5
N2 - Acoustic camera is a new generation 2D forward-looking imaging sonar, which can generate clear images with high resolution even in turbid water. A fundamental problem to be solved is to determine the camera pose from given 3D points in the world coordinate and corresponding 2D points in the acoustic image. This problem is difficult to be solved analytically with a closed-form solution due to the unique projection theory. Specifically, this study discusses about estimation of camera pose from coplanar points which is a basic problem for camera calibration or resection based on plane targets. To solve this problem, a linearized projection model is used, which is similar to the weak-perspective model for the optical camera, to acquire a closed-form solution for acoustic camera pose. For more precise results, an iterative algorithm can be followed by using the closed-form solution as an initial guess. The proposed method can be applied to pose estimation of the acoustic camera based on targets such as 2D fiducial markers.
AB - Acoustic camera is a new generation 2D forward-looking imaging sonar, which can generate clear images with high resolution even in turbid water. A fundamental problem to be solved is to determine the camera pose from given 3D points in the world coordinate and corresponding 2D points in the acoustic image. This problem is difficult to be solved analytically with a closed-form solution due to the unique projection theory. Specifically, this study discusses about estimation of camera pose from coplanar points which is a basic problem for camera calibration or resection based on plane targets. To solve this problem, a linearized projection model is used, which is similar to the weak-perspective model for the optical camera, to acquire a closed-form solution for acoustic camera pose. For more precise results, an iterative algorithm can be followed by using the closed-form solution as an initial guess. The proposed method can be applied to pose estimation of the acoustic camera based on targets such as 2D fiducial markers.
KW - acoustic camera
KW - forward looking sonar
KW - plane target
KW - pose estimation
KW - weak-perspective projection
UR - http://www.scopus.com/inward/record.url?scp=85088121037&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088121037&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF38699.2020.9389267
DO - 10.1109/IEEECONF38699.2020.9389267
M3 - Conference contribution
AN - SCOPUS:85088121037
T3 - 2020 Global Oceans 2020: Singapore - U.S. Gulf Coast
BT - 2020 Global Oceans 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 October 2020 through 30 October 2020
ER -