Decoding and calibration method on focused plenoptic camera

被引：0
作者：
Zhang C. [1 ]
Ji Z. [1 ]
Wang Q. [1 ]
机构：
[1] School of Computer Science, Northwestern Polytechnical University, Xi’an
来源：
Computational Visual Media | 2016年 / 2卷 / 1期
基金：
中国国家自然科学基金;
关键词：
calibration; depth prior; focused plenoptic camera; intrinsic parameters;
D O I：
10.1007/s41095-016-0040-x
中图分类号：
学科分类号：
摘要：
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. © 2016, The Author(s).
引用
收藏
页码：57 / 69
页数：12
相关论文
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