Accurate determination of distortion for smartphone cameras

Sukmock Lee; Byongoh Kim; Jiyeon Lee; Jose Sasian

doi:10.1364/AO.53.0000H1

Accurate determination of distortion for smartphone cameras

Sukmock Lee, Byongoh Kim, Jiyeon Lee, Jose Sasian

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Smartphone camera lenses have become prevalent. Photographs, and video, taken by such lenses have many useful applications which depend on accurately knowing the distortion properties of the lens. In this paper, we present an accurate method to determine smartphone camera lens distortion to an estimated average error of 0.09%.We present a linear regression method and account for keystone distortion and conjugate change.

Original language	English (US)
Pages (from-to)	H1-H6
Journal	Applied optics
Volume	53
Issue number	29
DOIs	https://doi.org/10.1364/AO.53.0000H1
State	Published - Oct 10 2014

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Electrical and Electronic Engineering

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10.1364/AO.53.0000H1

Cite this

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title = "Accurate determination of distortion for smartphone cameras",

abstract = "Smartphone camera lenses have become prevalent. Photographs, and video, taken by such lenses have many useful applications which depend on accurately knowing the distortion properties of the lens. In this paper, we present an accurate method to determine smartphone camera lens distortion to an estimated average error of 0.09%.We present a linear regression method and account for keystone distortion and conjugate change.",

author = "Sukmock Lee and Byongoh Kim and Jiyeon Lee and Jose Sasian",

note = "Publisher Copyright: {\textcopyright} 2014 Optical Society of America.",

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AU - Lee, Sukmock

AU - Kim, Byongoh

AU - Lee, Jiyeon

AU - Sasian, Jose

PY - 2014/10/10

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N2 - Smartphone camera lenses have become prevalent. Photographs, and video, taken by such lenses have many useful applications which depend on accurately knowing the distortion properties of the lens. In this paper, we present an accurate method to determine smartphone camera lens distortion to an estimated average error of 0.09%.We present a linear regression method and account for keystone distortion and conjugate change.

AB - Smartphone camera lenses have become prevalent. Photographs, and video, taken by such lenses have many useful applications which depend on accurately knowing the distortion properties of the lens. In this paper, we present an accurate method to determine smartphone camera lens distortion to an estimated average error of 0.09%.We present a linear regression method and account for keystone distortion and conjugate change.

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Accurate determination of distortion for smartphone cameras

Abstract

ASJC Scopus subject areas

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