Meeting room configuration and multiple camera calibration in meeting analysis
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
A convenient multicamera self-calibration for virtual environments
Presence: Teleoperators and Virtual Environments
Facet: towards a smart camera network of mobile phones
Proceedings of the 1st international conference on Autonomic computing and communication systems
Auto-organized visual perception using distributed camera network
Robotics and Autonomous Systems
Real-time terascale implementation of tele-immersion
ICCS'03 Proceedings of the 2003 international conference on Computational science
An Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration
Journal of Mathematical Imaging and Vision
Camera calibration using vertical lines
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
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We describe a calibration procedure for a multi-camera rig. Consider a large number of synchronized cameras arranged in some space, for example, on the walls of a room looking inwards. It is not necessary for all the cameras to have a common field of view, as long as every camera is connected to every other camera through common fields of view. Switching off the lights and waving a wand with an LED at the end of it, we can capture a very large set of point correspondences (corresponding points are captured at the same time stamp). The correspondences are then used in a large, nonlinear eigenvalue minimization routine whose basis is the epipolar constraint. The eigenvalue matrix encapsulates all points correspondences between every pair of cameras in a way that minimizing the smallest eigenvalue results in the projection matrices, to within a single perspective transformation. In a second step, given additional data from waving a rod with two LEDs (one at each end) the full projection matrices are calculated. The method is extremely accurate---the reprojections of the reconstructed points were within a pixel.