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Research Article | Open Access

Decoding and calibration method on focused plenoptic camera

School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China.
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Abstract

The ability of light gathering of plenoptic camera opens up new opportunities for a wide range of computer vision applications. An efficient and accurate method to calibrate plenoptic camera is crucial for its development. This paper describes a 10-intrinsic-parameter model for focused plenoptic camera with misalignment. By exploiting the relationship between the raw image features and the depth-scale information in the scene, we propose to estimate the intrinsic parameters from raw images directly, with a parallel biplanar board which provides depth prior. The proposed method enables an accurate decoding of light field on both angular and positional information, and guarantees a unique solution for the 10 intrinsic parameters in geometry. Experiments on both simulation and real scene data validate the performance of the proposed calibration method.

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Computational Visual Media
Pages 57-69
Cite this article:
Zhang C, Ji Z, Wang Q. Decoding and calibration method on focused plenoptic camera. Computational Visual Media, 2016, 2(1): 57-69. https://doi.org/10.1007/s41095-016-0040-x
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