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Title: Volumetric calibration of a plenoptic camera

Abstract

Here, the volumetric calibration of a plenoptic camera is explored to correct for inaccuracies due to real-world lens distortions and thin-lens assumptions in current processing methods. Two methods of volumetric calibration based on a polynomial mapping function that does not require knowledge of specific lens parameters are presented and compared to a calibration based on thin-lens assumptions. The first method, volumetric dewarping, is executed by creation of a volumetric representation of a scene using the thin-lens assumptions, which is then corrected in post-processing using a polynomial mapping function. The second method, direct light-field calibration, uses the polynomial mapping in creation of the initial volumetric representation to relate locations in object space directly to image sensor locations. The accuracy and feasibility of these methods is examined experimentally by capturing images of a known dot card at a variety of depths. Results suggest that use of a 3D polynomial mapping function provides a significant increase in reconstruction accuracy and that the achievable accuracy is similar using either polynomial-mapping-based method. Additionally, direct light-field calibration provides significant computational benefits by eliminating some intermediate processing steps found in other methods. Finally, the flexibility of this method is shown for a nonplanar calibration.

Authors:
 [1];  [2];  [3];  [2]
  1. Auburn Univ., Auburn, AL (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Auburn Univ., Auburn, AL (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1421765
Alternate Identifier(s):
OSTI ID: 1418726
Report Number(s):
SAND-2018-0806J
Journal ID: ISSN 1559-128X; APOPAI; 660487
Grant/Contract Number:
AC04-94AL85000; NA0003525
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Applied Optics
Additional Journal Information:
Journal Volume: 57; Journal Issue: 4; Journal ID: ISSN 1559-128X
Publisher:
Optical Society of America
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; three-dimensional image processing; three-dimensional image acquisition

Citation Formats

Hall, Elise Munz, Fahringer, Timothy W., Guildenbecher, Daniel Robert, and Thurow, Brian S.. Volumetric calibration of a plenoptic camera. United States: N. p., 2018. Web. doi:10.1364/AO.57.000914.
Hall, Elise Munz, Fahringer, Timothy W., Guildenbecher, Daniel Robert, & Thurow, Brian S.. Volumetric calibration of a plenoptic camera. United States. doi:10.1364/AO.57.000914.
Hall, Elise Munz, Fahringer, Timothy W., Guildenbecher, Daniel Robert, and Thurow, Brian S.. Thu . "Volumetric calibration of a plenoptic camera". United States. doi:10.1364/AO.57.000914.
@article{osti_1421765,
title = {Volumetric calibration of a plenoptic camera},
author = {Hall, Elise Munz and Fahringer, Timothy W. and Guildenbecher, Daniel Robert and Thurow, Brian S.},
abstractNote = {Here, the volumetric calibration of a plenoptic camera is explored to correct for inaccuracies due to real-world lens distortions and thin-lens assumptions in current processing methods. Two methods of volumetric calibration based on a polynomial mapping function that does not require knowledge of specific lens parameters are presented and compared to a calibration based on thin-lens assumptions. The first method, volumetric dewarping, is executed by creation of a volumetric representation of a scene using the thin-lens assumptions, which is then corrected in post-processing using a polynomial mapping function. The second method, direct light-field calibration, uses the polynomial mapping in creation of the initial volumetric representation to relate locations in object space directly to image sensor locations. The accuracy and feasibility of these methods is examined experimentally by capturing images of a known dot card at a variety of depths. Results suggest that use of a 3D polynomial mapping function provides a significant increase in reconstruction accuracy and that the achievable accuracy is similar using either polynomial-mapping-based method. Additionally, direct light-field calibration provides significant computational benefits by eliminating some intermediate processing steps found in other methods. Finally, the flexibility of this method is shown for a nonplanar calibration.},
doi = {10.1364/AO.57.000914},
journal = {Applied Optics},
number = 4,
volume = 57,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 2018},
month = {Thu Feb 01 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
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