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 menerangkan algoritma optimum secara teori untuk mengira homografi antara dua imej. Pertama, kami memperoleh ketepatan teori terikat berdasarkan model matematik hingar imej dan melakukan simulasi untuk mengesahkan bahawa teknik penormalan semula kami berjaya mencapai terikat itu. Kemudian, kami menggunakan teknik kami untuk memozek imej dengan pertindihan kecil. Dengan menggunakan imej sebenar, kami menunjukkan cara algoritma kami mengurangkan ketidakstabilan pemetaan imej.
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Salinan
Kenichi KANATANI, Naoya OHTA, Yasushi KANAZAWA, "Optimal Homography Computation with a Reliability Measure" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1369-1374, July 2000, doi: .
Abstract: We describe a theoretically optimal algorithm for computing the homography between two images. First, we derive a theoretical accuracy bound based on a mathematical model of image noise and do simulation to confirm that our renormalization technique effectively attains that bound. Then, we apply our technique to mosaicing of images with small overlaps. By using real images, we show how our algorithm reduces the instability of the image mapping.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1369/_p
Salinan
@ARTICLE{e83-d_7_1369,
author={Kenichi KANATANI, Naoya OHTA, Yasushi KANAZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Homography Computation with a Reliability Measure},
year={2000},
volume={E83-D},
number={7},
pages={1369-1374},
abstract={We describe a theoretically optimal algorithm for computing the homography between two images. First, we derive a theoretical accuracy bound based on a mathematical model of image noise and do simulation to confirm that our renormalization technique effectively attains that bound. Then, we apply our technique to mosaicing of images with small overlaps. By using real images, we show how our algorithm reduces the instability of the image mapping.},
keywords={},
doi={},
ISSN={},
month={July},}
Salinan
TY - JOUR
TI - Optimal Homography Computation with a Reliability Measure
T2 - IEICE TRANSACTIONS on Information
SP - 1369
EP - 1374
AU - Kenichi KANATANI
AU - Naoya OHTA
AU - Yasushi KANAZAWA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - We describe a theoretically optimal algorithm for computing the homography between two images. First, we derive a theoretical accuracy bound based on a mathematical model of image noise and do simulation to confirm that our renormalization technique effectively attains that bound. Then, we apply our technique to mosaicing of images with small overlaps. By using real images, we show how our algorithm reduces the instability of the image mapping.
ER -