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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami mencadangkan kaedah untuk mengimbangi herotan imej dengan menentukur parameter kamera intrinsik dengan pendaftaran imej yang tidak memerlukan surat-menyurat titik ke titik. Kaedah yang dicadangkan membahagikan pendaftaran antara corak penentukuran dan imej herot yang diperhatikan oleh kamera kepada dua langkah. Langkah pertama ialah pendaftaran terus daripada corak untuk membetulkan anjakan disebabkan unjuran. Langkah kedua ialah pendaftaran ke belakang daripada imej yang diperhatikan untuk mengimbangi herotan imej. Kedua-dua langkah menggunakan kaedah Gauss-Newton, teknik pengoptimuman tak linear, untuk meminimumkan sisa keamatan supaya corak dan imej yang diperhatikan menjadi sama. Keputusan eksperimen menunjukkan kegunaan kaedah yang dicadangkan. Akhir sekali kita membincangkan penumpuan kaedah yang dicadangkan yang terdiri daripada dua langkah pendaftaran.
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Salinan
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
Salinan
@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},}
Salinan
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 -