Title
A 4-Point Algorithm For Relative Pose Estimation Of A Calibrated Camera With A Known Relative Rotation Angle
Abstract
We propose analgorithm to estimate the relative camera pose using four feature correspondences and one relative rotation angle measurement. The algorithm can be used for relative pose estimation of a rigid body equipped with a camera and a relative rotation angle sensor which can be either an odometer, an IMU or a GPS/INS system. This algorithm exploits the fact that the relative rotation angles of both the camera and relative rotation angle sensor are the same as the camera and sensor are rigidly mounted to a rigid body. Therefore, knowledge of the extrinsic calibration between the camera and sensor is not required. We carry out a quantitative comparison of our algorithm with the well-known 5-point and 1-point algorithms, and show that our algorithm exhibits the highest level of accuracy.
Year
DOI
Venue
2013
10.1109/IROS.2013.6696562
2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
Keywords
Field
DocType
pose estimation,calibration
Computer vision,Computer science,Algorithm,Pose,Rigid body,Camera resectioning,Inertial measurement unit,Artificial intelligence,Assisted GPS,Calibration,Odometer
Conference
ISSN
Citations 
PageRank 
2153-0858
13
0.68
References 
Authors
9
4
Name
Order
Citations
PageRank
Bo Li11729.79
Lionel Heng230917.39
Lee Gim Hee337231.21
Marc Pollefeys47671475.90