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
점대점 대응이 필요하지 않은 영상 정합을 통해 카메라 고유의 매개 변수를 보정하여 영상 왜곡을 보상하는 방법을 제안합니다. 제안된 방법은 보정 패턴과 카메라에 의해 관찰된 왜곡된 이미지 사이의 정합을 두 단계로 나눕니다. 첫 번째 단계는 투영으로 인한 변위를 수정하기 위해 패턴에서 간단한 등록입니다. 두 번째 단계는 이미지의 왜곡을 보상하기 위해 관찰된 이미지로부터 역등록하는 것입니다. 두 단계 모두 비선형 최적화 기법인 Gauss-Newton 방법을 사용하여 강도의 잔차를 최소화하여 패턴과 관찰된 이미지가 동일해지게 합니다. 실험 결과는 제안된 방법의 유용성을 보여줍니다. 마지막으로 두 가지 등록 단계로 구성된 제안 방법의 수렴에 대해 논의합니다.
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부
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
부
@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},}
부
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 -