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.

© 2014 Optical Society of America

Self-consistent way to determine relative distortion of axial symmetric lens systems

Sukmock Lee, Robert Parks, and James H. Burge
Appl. Opt. 51(5) 588-593 (2012)

Distorted pinhole camera modeling and calibration

Rigoberto Juarez-Salazar, Juan Zheng, and Victor H. Diaz-Ramirez
Appl. Opt. 59(36) 11310-11318 (2020)

Planar self-calibration for stereo cameras with radial distortion

Banglei Guan, Yang Shang, and Qifeng Yu
Appl. Opt. 56(33) 9257-9267 (2017)

Incorporating lens distortion into the design of undistorted catadioptric omnidirectional cameras

Jiyong Zeng, Xianyu Su, and Gofan Jin
Appl. Opt. 45(30) 7778-7784 (2006)

Radial distortion correction in a vision system

Qiyue Wang, ZhongYu Wang, and Tim Smith
Appl. Opt. 55(31) 8876-8883 (2016)