TY - JOUR
T1 - METRIC CALIBRATION of A FOCUSED PLENOPTIC CAMERA BASED on A 3D CALIBRATION TARGET
AU - Zeller, N.
AU - Noury, C. A.
AU - Quint, F.
AU - Teulière, C.
AU - Stilla, U.
AU - Dhome, M.
N1 - Funding Information:
This research is funded partly by the Federal Ministry of Education and Research of Germany in its program ”IKT 2020 Re- search for Innovation” and partly by the French government research program ”Investissements d’avenir” through the IMobS3 Laboratory of Excellence (ANR-10-LABX-16-01) and the FUI n◦17 CLEAN Robot.
PY - 2016/6/2
Y1 - 2016/6/2
N2 - In this paper we present a new calibration approach for focused plenoptic cameras. We derive a new mathematical projection model of a focused plenoptic camera which considers lateral as well as depth distortion. Therefore, we derive a new depth distortion model directly from the theory of depth estimation in a focused plenoptic camera. In total the model consists of five intrinsic parameters, the parameters for radial and tangential distortion in the image plane and two new depth distortion parameters. In the proposed calibration we perform a complete bundle adjustment based on a 3D calibration target. The residual of our optimization approach is three dimensional, where the depth residual is defined by a scaled version of the inverse virtual depth difference and thus conforms well to the measured data. Our method is evaluated based on different camera setups and shows good accuracy. For a better characterization of our approach we evaluate the accuracy of virtual image points projected back to 3D space.
AB - In this paper we present a new calibration approach for focused plenoptic cameras. We derive a new mathematical projection model of a focused plenoptic camera which considers lateral as well as depth distortion. Therefore, we derive a new depth distortion model directly from the theory of depth estimation in a focused plenoptic camera. In total the model consists of five intrinsic parameters, the parameters for radial and tangential distortion in the image plane and two new depth distortion parameters. In the proposed calibration we perform a complete bundle adjustment based on a 3D calibration target. The residual of our optimization approach is three dimensional, where the depth residual is defined by a scaled version of the inverse virtual depth difference and thus conforms well to the measured data. Our method is evaluated based on different camera setups and shows good accuracy. For a better characterization of our approach we evaluate the accuracy of virtual image points projected back to 3D space.
KW - Bundle adjustment
KW - depth accuracy
KW - depth distortion model
KW - focused plenoptic camera
KW - metric camera calibration
UR - http://www.scopus.com/inward/record.url?scp=85021371197&partnerID=8YFLogxK
U2 - 10.5194/isprs-annals-III-3-449-2016
DO - 10.5194/isprs-annals-III-3-449-2016
M3 - Conference article
AN - SCOPUS:85021371197
SN - 2194-9042
VL - 3
SP - 449
EP - 456
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
T2 - 23rd International Society for Photogrammetry and Remote Sensing Congress, ISPRS 2016
Y2 - 12 July 2016 through 19 July 2016
ER -