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Multi-camera rectification using linearized trifocal tensor

: Zilly, Frederik; Riechert, Christian; Müller, Marcus; Waizenegger, Wolfgang; Sikora, Thomas; Kauff, Peter

International Association for Pattern Recognition -IAPR-; IEEE Computer Society:
21st International Conference on Pattern Recognition, ICPR 2012. Vol.4 : Tsukuba, Japan, 11 - 15 November 2012
Piscataway/NJ: IEEE, 2012
ISBN: 978-1-4673-2216-4 (Print)
ISBN: 978-4-9906441-0-9
International Conference on Pattern Recognition (ICPR) <21, 2012, Tsukuba>
Conference Paper
Fraunhofer HHI ()

Multi-camera systems such as linear camera arrays are commonly used to capture content for multi-baseline stereo estimation, view generation for auto-stereoscopic displays, or similar tasks. However, even after a careful mechanical alignment, residual vertical disparities and horizontal disparity offsets impair further processing steps. In consequence, the multicamera content needs to be rectified on a common baseline. The trifocal tensor represents the geometry between three cameras and hence is a helpful tool to calibrate a multi-camera system, and to derive rectifying homographies. Against this background we propose a new method for a robust estimation of the trifocal tensor specialized for linear camera arrays and subsequent rectifying homography computation based on feature point triplets.