The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos um método para compensar a distorção da imagem calibrando os parâmetros intrínsecos da câmera por meio do registro da imagem que não necessita de correspondência ponto a ponto. O método proposto divide o registro entre um padrão de calibração e uma imagem distorcida observada por uma câmera em duas etapas. O primeiro passo é o registro direto do padrão para corrigir o deslocamento devido à projeção. A segunda etapa é o registro retroativo da imagem observada para compensar a distorção da imagem. Ambas as etapas utilizam o método Gauss-Newton, uma técnica de otimização não linear, para minimizar resíduos de intensidades para que o padrão e a imagem observada se tornem iguais. Resultados experimentais mostram a utilidade do método proposto. Por fim discutimos a convergência do método proposto que consiste nas duas etapas de registro.
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Toru TAMAKI, Tsuyoshi YAMAMURA, Noboru OHNISHI, "A Method for Compensation of Image Distortion with Image Registration Technique" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 8, pp. 990-998, August 2001, doi: .
Abstract: We propose a method for compensating distortion of image by calibrating intrinsic camera parameters by image registration which does not need point-to-point correspondence. The proposed method divides the registration between a calibration pattern and a distorted image observed by a camera into two steps. The first step is the straightforward registration from the pattern in order to correct the displacement due to projection. The second step is the backward registration from the observed image for compensating the distortion of the image. Both of the steps use Gauss-Newton method, a nonlinear optimization technique, to minimize residuals of intensities so that the pattern and the observed image become the same. Experimental results show the usefulness of the proposed method. Finally we discuss the convergence of the proposed method which consists of the two registration steps.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_8_990/_p
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@ARTICLE{e84-d_8_990,
author={Toru TAMAKI, Tsuyoshi YAMAMURA, Noboru OHNISHI, },
journal={IEICE TRANSACTIONS on Information},
title={A Method for Compensation of Image Distortion with Image Registration Technique},
year={2001},
volume={E84-D},
number={8},
pages={990-998},
abstract={We propose a method for compensating distortion of image by calibrating intrinsic camera parameters by image registration which does not need point-to-point correspondence. The proposed method divides the registration between a calibration pattern and a distorted image observed by a camera into two steps. The first step is the straightforward registration from the pattern in order to correct the displacement due to projection. The second step is the backward registration from the observed image for compensating the distortion of the image. Both of the steps use Gauss-Newton method, a nonlinear optimization technique, to minimize residuals of intensities so that the pattern and the observed image become the same. Experimental results show the usefulness of the proposed method. Finally we discuss the convergence of the proposed method which consists of the two registration steps.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A Method for Compensation of Image Distortion with Image Registration Technique
T2 - IEICE TRANSACTIONS on Information
SP - 990
EP - 998
AU - Toru TAMAKI
AU - Tsuyoshi YAMAMURA
AU - Noboru OHNISHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2001
AB - We propose a method for compensating distortion of image by calibrating intrinsic camera parameters by image registration which does not need point-to-point correspondence. The proposed method divides the registration between a calibration pattern and a distorted image observed by a camera into two steps. The first step is the straightforward registration from the pattern in order to correct the displacement due to projection. The second step is the backward registration from the observed image for compensating the distortion of the image. Both of the steps use Gauss-Newton method, a nonlinear optimization technique, to minimize residuals of intensities so that the pattern and the observed image become the same. Experimental results show the usefulness of the proposed method. Finally we discuss the convergence of the proposed method which consists of the two registration steps.
ER -