Decoding and calibration method on focused plenoptic camera

作     者：Chunping Zhang Zhe Ji Qing Wang 

作者机构：School of Computer Science Northwestern Polytechnical University 

出 版 物：《Computational Visual Media》 (计算可视媒体（英文版）)

年 卷 期：2016年第2卷第1期

页      面：57-69页

核心收录：

学科分类：1304[艺术学-美术学] 13[艺术学] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (Nos. 61272287 and 61531014) the research grant of State Key Laboratory of Virtual Reality Technology and Systems (No. BUAAVR-15KF-10) 

主　　题：calibration focused plenoptic camera depth prior intrinsic parameters 

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.