Non-planar target for multi-camera network calibration

Shen, Edward; Carr, Gemma; Thomas, Paul J.; Hornsey, Richard

doi:10.1109/icsens.2009.5398433

Cited by 4 publications

(9 citation statements)

References 11 publications

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“…This is approximately a 3.5 times improvement from the results reported in [8] where the reprojection error was . The laser scan derived positions of the outer targets is credited for the bulk of this improvement as by simply replacing the nominal target position values in the data set of [8], the pixel reprojection error was reduced by approximately 2.4 times to .…”

Section: B Extrinsic Parameterssupporting

confidence: 44%

“…Then the homography , with defines the transformation of to its image as per which is its dual space representation. Then (8) where: is the third column of the rotation matrix and is the image of the sphere center under . Due to the homogeneous representation of coordinates, a scalar has to be added to the above expression as follows: (9) where is the dual image of the absolute conic (DIAC).…”

Section: Projective Geometry Of Spherical Targetsmentioning

confidence: 99%

“…The calibration apparatus is similar to the one reported in [8]. The calibration target was mounted on a linear stage with XY travel that was affixed to a precision rotation stage (Newport URS75PP).…”

Section: A Physical Apparatusmentioning

confidence: 99%

“…The initial design and verification of the non-planar target was presented in [8]. The target consists of a large central sphere with smaller spheres of different colors mounted on support rods ( Fig.…”

Section: Target Designand Specificationsmentioning

confidence: 99%

“…Both types of targets require tedious calibration procedures because multiple views of the target are required to generate sufficient point correspondences in each camera. The present work addresses the issues of speed and target orientation through the use of a novel non-planar calibration target [8] and a corresponding calibration methodology. The design of the target is such that only a single image is required from each camera, thus reducing the time required for calibration.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Camera Network Calibration with a Non-Planar Target

Shen

Hornsey

2011

IEEE Sensors J.

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The rapid calibration of multi-camera systems using a planar target is typically impractical due to the difficulty of viewing the target in each camera simultaneously. To address these shortcomings, a complete calibration methodology using a novel nonplanar target for rapid calibration of inward-looking visual sensor networks (VSNs) is presented. We discuss the practical limitations of the approach, arising from an analysis of implementation issues when using spheres as calibration targets such as target-to-target and target-to-camera orientation relationships. This procedure is applied to fully calibrate (intrinsic and extrinsic camera parameters) a twelve camera inward-looking VSN, using only a single image per camera. Results from the calibration are compared for nominal and measured dimensions of the target.

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Section: B Extrinsic Parameterssupporting

confidence: 44%

Section: Projective Geometry Of Spherical Targetsmentioning

confidence: 99%

Section: A Physical Apparatusmentioning

confidence: 99%

Section: Target Designand Specificationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Camera Network Calibration with a Non-Planar Target

Shen

Hornsey

2011

IEEE Sensors J.

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Multicamera rig calibration by double‐sided thick checkerboard

Marcon

Sarti

Tubaro

2017

IET Computer Vision

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A multi-camera rig calibration algorithm based on a double sided planar target is proposed. Due to their inherently simple realisation, low cost and accuracy, planar calibration targets came out as one of the most largely adopted calibration tools both for intrinsic and extrinsic camera parameters. However, concerning the estimation of extrinsic parameters, one of the major drawbacks of these targets is their requirement for distinct target visibility from both cameras. This prevents many configurations from being adopted where, e.g. two cameras are facing each other. An inexpensive solution could be based on printing/pasting a planar pattern on both target sides, however, the relative misalignment between the patterns on the two sides and the target thickness could be unknown. The authors propose a solution where double-sided target displacement error is estimated together with the extrinsic parameters allowing the reuse of all the available planar calibration tools in less constrained configurations. To assess their approach the authors tested the system in two scenarios, one using two professional 4K cameras and one using two smartphones.

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Camera Calibration Algorithm for Long Distance Binocular Measurement

Zhang

Chen

et al. 2022

2022 IEEE International Conference on Mechatronics and Automation (ICMA)

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Non-planar target for multi-camera network calibration

Cited by 4 publications

References 11 publications

Multi-Camera Network Calibration with a Non-Planar Target

Multi-Camera Network Calibration with a Non-Planar Target

Multicamera rig calibration by double‐sided thick checkerboard

Camera Calibration Algorithm for Long Distance Binocular Measurement

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