Authors:
Lorenzo Sorgi
1
and
Andrey Bushnevskiy
2
Affiliations:
1
Technicolor R&I, Germany
;
2
Technicolor and Technicolor R&I, Germany
Keyword(s):
Multicamera Calibration, Pattern Recovery, Partial Calibration Pattern Visibility, Calibration Pattern Occlusion, External Calibration, Calibration Pattern Offset Removal.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computational Photography
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Pattern Recognition
;
Rendering
;
Software Engineering
Abstract:
Camera calibration is an essential step for most computer vision applications. This task usually requires the consistent detection of a 2D periodic pattern across multiple views and in practice one of the main difficulties is a correct localization of the pattern origin and its orientation in case of partial occlusion. To overcome this problem many calibration tools require a full visibility of the calibration pattern, which is not always possible,
especially when a multicamera systems are used. This paper addresses the specific problem of consistent recovery of the calibration pattern, captured by a multicamera systems under the condition of partial occlusion of the calibration object in several (even all) calibration images. The proposed algorithm is structured in two sequential steps aimed at the removal of the rotational and the translational components of the pattern offset transformation, which is essential for a correct calibration. The paper focuses on two common calibration
patterns, the checkerboard grid and the bundle of parallel lines; however, the technique can be easily rearranged in order to cope with other classes of periodic patterns. The algorithm effectiveness has been successfully proven on the simulated data and two real calibration datasets, captured using a fisheye stereo rig.
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