Computer Vision, Graphics, and Image Processing
Aligning Non-Overlapping Sequences
International Journal of Computer Vision - Marr Prize Special Issue
Gauge Independence in Optimization Algorithms for 3D Vision
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Calibration of a multi-camera rig from non-overlapping views
Proceedings of the 29th DAGM conference on Pattern recognition
Visual odometry for non-overlapping views using second-order cone programming
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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Multi-camera systems offer some advantages over classical systems like stereo or monocular camera systems. A multi-camera system with a non-overlapping field of view, able to cover a wide area, might prove superior e. g. in a mapping scenario where less time is needed to cover the entire area. Approaches to determine the parameters of the mutual orientation from common motions exist for more than 30 years. Most work presented in the past neglected or ignored the influence different motion characteristics have on the parameter estimation process. However, for critical motions a subset of the parameters of the mutual orientation can not be determined or only very inaccurate. In this paper we present a strategy and assessment scheme to allow a successful estimation of as many parameters as possible even for critical motions. Furthermore, the proposed approach is validated by experiments.