Correction of geometric lens distortion through image warping

Lucchese, L.; Mitra, Shankhanil

doi:10.1109/ispa.2003.1296951

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Several models can be used to apply a global nonlinear content-agnostic image warp to achieve this correction [4] [5] [6] [7] [8]. Global linear image warps have been used for keystone correction in projectors [9].…”

Section: A Related Workmentioning

confidence: 99%

Undistorting Foreground Objects in Wide Angle Images

Tehrani

Majumder

Gopi

2013

2013 IEEE International Symposium on Multimedia

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Figure 1: Examples of perspective distortions.Abstract-The use of wide angle lens on commodity cameras are becoming increasingly popular. However, this leads to image distortions due to the large difference in relative orientation of the different foreground objects with respect to the camera's image plane. More importantly, these distortions are different in different parts of the image since it depends entirely on the position and orientation of the foreground object with respect to the image plane. Such distortions often manifest themselves as objects in the foreground appearing fatter than they are supposed to be or parts thereof (e.g. hands or head of people) looking disproportionately larger than the rest of them. Though there are earlier works addressing other common distortions in cameras like radial distortions, little attention has been given to this problem. In this paper, we present an effective method to remove such distortions in foreground objects minimally distorting the background. This is achieved efficiently using a mesh-based pixel displacement technique assisted by a simple and intuitive user interface design.

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Section: A Related Workmentioning

confidence: 99%

Undistorting Foreground Objects in Wide Angle Images

Tehrani

Majumder

Gopi

2013

2013 IEEE International Symposium on Multimedia

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“…Camera calibration in machine vision is a widely studied subject, which usually means setting the relation between world coordinates and camera coordinates at the captured image [6,7].The camera model consists of extrinsic and intrinsic parameters, namely, when find out the two kinds of parameters the calibration is finished. However, to this system, just calculate the 2-D dimension of the gear, we can regard as the camera coordinates and the world coordinates is coincide with each other because the camera is relative to the part do not displacement and rotation.…”

Section: Camera Calibration and Image Rectificationmentioning

confidence: 99%

Development on Inspection System for Gear’s Dimension Based on Machine Vision

Jin

Xia

et al. 2011

AMR

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A noncontact inspection system for gear based on machine vision is developed in this work, according to the mathematical model of lens distortion; the calibration of the camera was realized by the MATLAB calibration toolbox, obtained the distortion coefficients, by which the pixel is proofread. After then the key parameters of gear could be automatically acquired with proposed algorithm. In this work, the algorithm is applied to a practical case of a standard spur gear; the experimental results reported here confirm the effectiveness of the approach.

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Efficient multi-image registration with illumination and lens distortion correction

Pickering²,

Frater³

et al. 2005

IEEE International Conference on Image Processing 2005

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Correction of geometric lens distortion through image warping

Cited by 3 publications

References 8 publications

Undistorting Foreground Objects in Wide Angle Images

Undistorting Foreground Objects in Wide Angle Images

Development on Inspection System for Gear’s Dimension Based on Machine Vision

Efficient multi-image registration with illumination and lens distortion correction

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