Calibration of radially symmetric distortion by fitting principal component

Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages149-156
    Number of pages8
    Volume5702 LNCS
    DOIs
    Publication statusPublished - 2009
    Event13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster
    Duration: 2009 Sep 22009 Sep 4

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5702 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
    CityMunster
    Period09/9/209/9/4

    Fingerprint

    Principal Components
    Calibration
    Synthetic Data
    Fish
    Straight Line
    Principal component analysis
    Straight
    Principal Component Analysis
    Lens
    Lenses
    Camera
    Cameras
    Line
    Experimental Results
    Demonstrate

    Keywords

    • Camera calibration
    • Fish-eye lens
    • Principal component analysis

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Hino, H., Usami, Y., Fujiki, J., Akaho, S., & Murata, N. (2009). Calibration of radially symmetric distortion by fitting principal component. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5702 LNCS, pp. 149-156). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5702 LNCS). https://doi.org/10.1007/978-3-642-03767-2_18

    Calibration of radially symmetric distortion by fitting principal component. / Hino, Hideitsu; Usami, Yumi; Fujiki, Jun; Akaho, Shotaro; Murata, Noboru.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5702 LNCS 2009. p. 149-156 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5702 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Hino, H, Usami, Y, Fujiki, J, Akaho, S & Murata, N 2009, Calibration of radially symmetric distortion by fitting principal component. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5702 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5702 LNCS, pp. 149-156, 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, Munster, 09/9/2. https://doi.org/10.1007/978-3-642-03767-2_18
    Hino H, Usami Y, Fujiki J, Akaho S, Murata N. Calibration of radially symmetric distortion by fitting principal component. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5702 LNCS. 2009. p. 149-156. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03767-2_18
    Hino, Hideitsu ; Usami, Yumi ; Fujiki, Jun ; Akaho, Shotaro ; Murata, Noboru. / Calibration of radially symmetric distortion by fitting principal component. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5702 LNCS 2009. pp. 149-156 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{a5c633b408544e3cb2dd890cfd422f3c,
    title = "Calibration of radially symmetric distortion by fitting principal component",
    abstract = "To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.",
    keywords = "Camera calibration, Fish-eye lens, Principal component analysis",
    author = "Hideitsu Hino and Yumi Usami and Jun Fujiki and Shotaro Akaho and Noboru Murata",
    year = "2009",
    doi = "10.1007/978-3-642-03767-2_18",
    language = "English",
    isbn = "3642037666",
    volume = "5702 LNCS",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    pages = "149--156",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

    }

    TY - GEN

    T1 - Calibration of radially symmetric distortion by fitting principal component

    AU - Hino, Hideitsu

    AU - Usami, Yumi

    AU - Fujiki, Jun

    AU - Akaho, Shotaro

    AU - Murata, Noboru

    PY - 2009

    Y1 - 2009

    N2 - To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.

    AB - To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.

    KW - Camera calibration

    KW - Fish-eye lens

    KW - Principal component analysis

    UR - http://www.scopus.com/inward/record.url?scp=70349329685&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=70349329685&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-03767-2_18

    DO - 10.1007/978-3-642-03767-2_18

    M3 - Conference contribution

    AN - SCOPUS:70349329685

    SN - 3642037666

    SN - 9783642037665

    VL - 5702 LNCS

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 149

    EP - 156

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    ER -