A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras
August 07, 2018 Β· Declared Dead Β· π IEEE Transactions on Pattern Analysis and Machine Intelligence
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Authors
Qi Zhang, Chunping Zhang, Jinbo Ling, Qing Wang, Jingyi Yu
arXiv ID
1808.02244
Category
cs.CV: Computer Vision
Citations
48
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Last Checked
3 months ago
Abstract
Light field cameras can capture both spatial and angular information of light rays, enabling 3D reconstruction by a single exposure. The geometry of 3D reconstruction is affected by intrinsic parameters of a light field camera significantly. In the paper, we propose a multi-projection-center (MPC) model with 6 intrinsic parameters to characterize light field cameras based on traditional two-parallel-plane (TPP) representation. The MPC model can generally parameterize light field in different imaging formations, including conventional and focused light field cameras. By the constraints of 4D ray and 3D geometry, a 3D projective transformation is deduced to describe the relationship between geometric structure and the MPC coordinates. Based on the MPC model and projective transformation, we propose a calibration algorithm to verify our light field camera model. Our calibration method includes a close-form solution and a non-linear optimization by minimizing re-projection errors. Experimental results on both simulated and real scene data have verified the performance of our algorithm.
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