Optimal Homography Computation with a Reliability Measure
Summary :
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.
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- IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1369-1374
- Publication Date
- 2000/07/25
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- Type of Manuscript
- Special Section PAPER (Special Issue on Machine Vision Applications)
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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
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@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},}
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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 -
English
