Lens distortion rectification using triangulation based interpolation

Burak Benligiray; Cihan Topal

doi:10.1007/978-3-319-27863-6_4

Lens distortion rectification using triangulation based interpolation

Burak Benligiray^*
, Cihan Topal

^*Bu çalışma için yazışmadan sorumlu yazar

Anadolu University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known. However, many self-calibration methods estimate the inverse distortion model. In the literature, the inverse of the estimated model is approximated for image rectification, which introduces additional error to the system. We propose a novel distortion rectification method that uses the inverse distortion model directly. The method starts by mapping the distorted pixels to the rectified image using the inverse distortion model. The resulting set of points with subpixel locations are triangulated. The pixel values of the rectified image are linearly interpolated based on this triangulation. The method is applicable to all camera calibration methods that estimate the inverse distortion model and performs well across a large range of parameters.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
Editörler	Bahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
Yayınlayan	Springer Verlag
Sayfalar	35-44
Sayfa sayısı	10
ISBN (Basılı)	9783319278629
DOI'lar	https://doi.org/10.1007/978-3-319-27863-6_4
Yayın durumu	Yayınlandı - 2015
Harici olarak yayınlandı	Evet
Etkinlik	11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States Süre: 14 Ara 2015 → 16 Ara 2015

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	9475
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	11th International Symposium on Advances in Visual Computing , ISVC 2015
Ülke/Bölge	United States
Şehir	Las Vegas
Periyot	14/12/15 → 16/12/15

Bibliyografik not

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Belgeye Erişim

10.1007/978-3-319-27863-6_4

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Benligiray, B., & Topal, C. (2015). Lens distortion rectification using triangulation based interpolation. In B. Parvin, D. Koracin, R. Feris, G. Weber, I. Pavlidis, T. McGraw, R. Kopper, Z. Ye, E. Ragan, G. Bebis, M. Elendt, & R. Boyle (Eds.), Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings (pp. 35-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 9475). Springer Verlag. https://doi.org/10.1007/978-3-319-27863-6_4

Benligiray, Burak ; Topal, Cihan. / Lens distortion rectification using triangulation based interpolation. Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. editör / Bahram Parvin ; Darko Koracin ; Rogerio Feris ; Gunther Weber ; Ioannis Pavlidis ; Tim McGraw ; Regis Kopper ; Zhao Ye ; Eric Ragan ; George Bebis ; Mark Elendt ; Richard Boyle. Springer Verlag, 2015. pp. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Lens distortion rectification using triangulation based interpolation",

abstract = "Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known. However, many self-calibration methods estimate the inverse distortion model. In the literature, the inverse of the estimated model is approximated for image rectification, which introduces additional error to the system. We propose a novel distortion rectification method that uses the inverse distortion model directly. The method starts by mapping the distorted pixels to the rectified image using the inverse distortion model. The resulting set of points with subpixel locations are triangulated. The pixel values of the rectified image are linearly interpolated based on this triangulation. The method is applicable to all camera calibration methods that estimate the inverse distortion model and performs well across a large range of parameters.",

author = "Burak Benligiray and Cihan Topal",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Symposium on Advances in Visual Computing , ISVC 2015 ; Conference date: 14-12-2015 Through 16-12-2015",

year = "2015",

doi = "10.1007/978-3-319-27863-6\_4",

language = "English",

isbn = "9783319278629",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Bahram Parvin and Darko Koracin and Rogerio Feris and Gunther Weber and Ioannis Pavlidis and Tim McGraw and Regis Kopper and Zhao Ye and Eric Ragan and George Bebis and Mark Elendt and Richard Boyle",

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Benligiray, B & Topal, C 2015, Lens distortion rectification using triangulation based interpolation. in B Parvin, D Koracin, R Feris, G Weber, I Pavlidis, T McGraw, R Kopper, Z Ye, E Ragan, G Bebis, M Elendt & R Boyle (eds), Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), hac. 9475, Springer Verlag, pp. 35-44, 11th International Symposium on Advances in Visual Computing , ISVC 2015, Las Vegas, United States, 14/12/15. https://doi.org/10.1007/978-3-319-27863-6_4

Lens distortion rectification using triangulation based interpolation. / Benligiray, Burak; Topal, Cihan.
Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. ed. / Bahram Parvin; Darko Koracin; Rogerio Feris; Gunther Weber; Ioannis Pavlidis; Tim McGraw; Regis Kopper; Zhao Ye; Eric Ragan; George Bebis; Mark Elendt; Richard Boyle. Springer Verlag, 2015. p. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 9475).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Lens distortion rectification using triangulation based interpolation

AU - Benligiray, Burak

AU - Topal, Cihan

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known. However, many self-calibration methods estimate the inverse distortion model. In the literature, the inverse of the estimated model is approximated for image rectification, which introduces additional error to the system. We propose a novel distortion rectification method that uses the inverse distortion model directly. The method starts by mapping the distorted pixels to the rectified image using the inverse distortion model. The resulting set of points with subpixel locations are triangulated. The pixel values of the rectified image are linearly interpolated based on this triangulation. The method is applicable to all camera calibration methods that estimate the inverse distortion model and performs well across a large range of parameters.

AB - Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known. However, many self-calibration methods estimate the inverse distortion model. In the literature, the inverse of the estimated model is approximated for image rectification, which introduces additional error to the system. We propose a novel distortion rectification method that uses the inverse distortion model directly. The method starts by mapping the distorted pixels to the rectified image using the inverse distortion model. The resulting set of points with subpixel locations are triangulated. The pixel values of the rectified image are linearly interpolated based on this triangulation. The method is applicable to all camera calibration methods that estimate the inverse distortion model and performs well across a large range of parameters.

UR - https://www.scopus.com/pages/publications/84952802410

U2 - 10.1007/978-3-319-27863-6_4

DO - 10.1007/978-3-319-27863-6_4

M3 - Conference contribution

AN - SCOPUS:84952802410

SN - 9783319278629

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

SP - 35

EP - 44

BT - Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings

A2 - Parvin, Bahram

A2 - Koracin, Darko

A2 - Feris, Rogerio

A2 - Weber, Gunther

A2 - Pavlidis, Ioannis

A2 - McGraw, Tim

A2 - Kopper, Regis

A2 - Ye, Zhao

A2 - Ragan, Eric

A2 - Bebis, George

A2 - Elendt, Mark

A2 - Boyle, Richard

PB - Springer Verlag

T2 - 11th International Symposium on Advances in Visual Computing , ISVC 2015

Y2 - 14 December 2015 through 16 December 2015

ER -

Benligiray B, Topal C. Lens distortion rectification using triangulation based interpolation. In Parvin B, Koracin D, Feris R, Weber G, Pavlidis I, McGraw T, Kopper R, Ye Z, Ragan E, Bebis G, Elendt M, Boyle R, editörler, Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. Springer Verlag. 2015. p. 35-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-27863-6_4

Lens distortion rectification using triangulation based interpolation

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Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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