Paper Info
Title
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Abstract
Camera calibration methods usually consist of capturing images of known calibration patterns and using the detected correspondences to optimize the parameters of the assumed camera model. A meaningful evaluation of these methods relies on the availability of realistic synthetic data. In previous works concerned with conventional cameras the synthetic data was mainly created by rendering perfect images with a pinhole camera and subsequently adding distortions and aberrations to the renderings and correspondences according to the assumed camera model. This method can bias the evaluation since not every camera perfectly complies with an assumed model. Furthermore, in the field of plenoptic camera calibration there is no synthetic ground truth data available at all. We address these problems by proposing a method based on backward ray tracing to create realistic ground truth data that can be used for an unbiased evaluation of calibration methods for both types of cameras.
Year
DOI
Venue
2019
10.1109/3DV.2019.00055
2019 International Conference on 3D Vision (3DV)
Keywords
DocType
ISSN
Camera Simulation,Plenoptic Cameras,Lightfield,Camera Calibration
Conference
2378-3826
ISBN
Citations 
PageRank 
978-1-7281-3132-0
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Tim Michels100.34
Arne Petersen201.01
Reinhard Koch32038170.17