Camera calibration using adaptive segmentation and ellipse fitting for localizing control points

Charan D. Prakash, Lina Karam

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

4 Citations (Scopus)

Abstract

This paper presents a novel camera calibration method using a circular calibration pattern. The disadvantages and issues with existing state-of-the-art methods are discussed and are overcome in this work. In the proposed iterative method, the captured images of the circular pattern are undistorted and projected onto a fronto parallel plane. The control points are localized in this fronto parallel plane using a novel approach for more accurately localizing the control points in the images based on adaptive segmentation and ellipse fitting. The localized control points are then projected to their original planes using estimated camera calibration parameters that are refined by minimizing the reprojection error. Simulation results are presented to illustrate the performance of the proposed scheme. These results show that the proposed method reduces the error by up to 57% as compared to the state-of-the-art for high-resolution images, and that the proposed scheme is more robust to blur in the imaged calibration pattern.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages341-344
Number of pages4
DOIs
StatePublished - 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period9/30/1210/3/12

Fingerprint

Cameras
Calibration
Image resolution
Iterative methods

Keywords

  • adaptive segmentation
  • camera calibration
  • control points
  • ellipse fitting
  • iterative

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Prakash, C. D., & Karam, L. (2012). Camera calibration using adaptive segmentation and ellipse fitting for localizing control points. In Proceedings - International Conference on Image Processing, ICIP (pp. 341-344). [6466865] https://doi.org/10.1109/ICIP.2012.6466865

Camera calibration using adaptive segmentation and ellipse fitting for localizing control points. / Prakash, Charan D.; Karam, Lina.

Proceedings - International Conference on Image Processing, ICIP. 2012. p. 341-344 6466865.

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

Prakash, CD & Karam, L 2012, Camera calibration using adaptive segmentation and ellipse fitting for localizing control points. in Proceedings - International Conference on Image Processing, ICIP., 6466865, pp. 341-344, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 9/30/12. https://doi.org/10.1109/ICIP.2012.6466865
Prakash CD, Karam L. Camera calibration using adaptive segmentation and ellipse fitting for localizing control points. In Proceedings - International Conference on Image Processing, ICIP. 2012. p. 341-344. 6466865 https://doi.org/10.1109/ICIP.2012.6466865
Prakash, Charan D. ; Karam, Lina. / Camera calibration using adaptive segmentation and ellipse fitting for localizing control points. Proceedings - International Conference on Image Processing, ICIP. 2012. pp. 341-344
@inproceedings{5856fef920e64bb681e3edd134a0a2c2,
title = "Camera calibration using adaptive segmentation and ellipse fitting for localizing control points",
abstract = "This paper presents a novel camera calibration method using a circular calibration pattern. The disadvantages and issues with existing state-of-the-art methods are discussed and are overcome in this work. In the proposed iterative method, the captured images of the circular pattern are undistorted and projected onto a fronto parallel plane. The control points are localized in this fronto parallel plane using a novel approach for more accurately localizing the control points in the images based on adaptive segmentation and ellipse fitting. The localized control points are then projected to their original planes using estimated camera calibration parameters that are refined by minimizing the reprojection error. Simulation results are presented to illustrate the performance of the proposed scheme. These results show that the proposed method reduces the error by up to 57{\%} as compared to the state-of-the-art for high-resolution images, and that the proposed scheme is more robust to blur in the imaged calibration pattern.",
keywords = "adaptive segmentation, camera calibration, control points, ellipse fitting, iterative",
author = "Prakash, {Charan D.} and Lina Karam",
year = "2012",
doi = "10.1109/ICIP.2012.6466865",
language = "English (US)",
isbn = "9781467325332",
pages = "341--344",
booktitle = "Proceedings - International Conference on Image Processing, ICIP",

}

TY - GEN

T1 - Camera calibration using adaptive segmentation and ellipse fitting for localizing control points

AU - Prakash, Charan D.

AU - Karam, Lina

PY - 2012

Y1 - 2012

N2 - This paper presents a novel camera calibration method using a circular calibration pattern. The disadvantages and issues with existing state-of-the-art methods are discussed and are overcome in this work. In the proposed iterative method, the captured images of the circular pattern are undistorted and projected onto a fronto parallel plane. The control points are localized in this fronto parallel plane using a novel approach for more accurately localizing the control points in the images based on adaptive segmentation and ellipse fitting. The localized control points are then projected to their original planes using estimated camera calibration parameters that are refined by minimizing the reprojection error. Simulation results are presented to illustrate the performance of the proposed scheme. These results show that the proposed method reduces the error by up to 57% as compared to the state-of-the-art for high-resolution images, and that the proposed scheme is more robust to blur in the imaged calibration pattern.

AB - This paper presents a novel camera calibration method using a circular calibration pattern. The disadvantages and issues with existing state-of-the-art methods are discussed and are overcome in this work. In the proposed iterative method, the captured images of the circular pattern are undistorted and projected onto a fronto parallel plane. The control points are localized in this fronto parallel plane using a novel approach for more accurately localizing the control points in the images based on adaptive segmentation and ellipse fitting. The localized control points are then projected to their original planes using estimated camera calibration parameters that are refined by minimizing the reprojection error. Simulation results are presented to illustrate the performance of the proposed scheme. These results show that the proposed method reduces the error by up to 57% as compared to the state-of-the-art for high-resolution images, and that the proposed scheme is more robust to blur in the imaged calibration pattern.

KW - adaptive segmentation

KW - camera calibration

KW - control points

KW - ellipse fitting

KW - iterative

UR - http://www.scopus.com/inward/record.url?scp=84875872000&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875872000&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2012.6466865

DO - 10.1109/ICIP.2012.6466865

M3 - Conference contribution

AN - SCOPUS:84875872000

SN - 9781467325332

SP - 341

EP - 344

BT - Proceedings - International Conference on Image Processing, ICIP

ER -