Randomized Adaptive Algorithms for Mosaicing Systems
Summary :
Given a set of still images taken from a hand-held camera, we present a fast method for mosaicing them into a single blended picture. We design time- and memory- efficient still image mosaicing algorithms based on geometric point feature matchings that can handle both arbitrary rotations and large zoom factors. We discuss extensions of the methodology to related problems like the recovering of the epipolar geometry for 3d reconstruction and object recognition tasks.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1386-1394
- Publication Date
- 2000/07/25
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Issue on Machine Vision Applications)
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Frank NIELSEN, "Randomized Adaptive Algorithms for Mosaicing Systems" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1386-1394, July 2000, doi: .
Abstract: Given a set of still images taken from a hand-held camera, we present a fast method for mosaicing them into a single blended picture. We design time- and memory- efficient still image mosaicing algorithms based on geometric point feature matchings that can handle both arbitrary rotations and large zoom factors. We discuss extensions of the methodology to related problems like the recovering of the epipolar geometry for 3d reconstruction and object recognition tasks.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1386/_p
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@ARTICLE{e83-d_7_1386,
author={Frank NIELSEN, },
journal={IEICE TRANSACTIONS on Information},
title={Randomized Adaptive Algorithms for Mosaicing Systems},
year={2000},
volume={E83-D},
number={7},
pages={1386-1394},
abstract={Given a set of still images taken from a hand-held camera, we present a fast method for mosaicing them into a single blended picture. We design time- and memory- efficient still image mosaicing algorithms based on geometric point feature matchings that can handle both arbitrary rotations and large zoom factors. We discuss extensions of the methodology to related problems like the recovering of the epipolar geometry for 3d reconstruction and object recognition tasks.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Randomized Adaptive Algorithms for Mosaicing Systems
T2 - IEICE TRANSACTIONS on Information
SP - 1386
EP - 1394
AU - Frank NIELSEN
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - Given a set of still images taken from a hand-held camera, we present a fast method for mosaicing them into a single blended picture. We design time- and memory- efficient still image mosaicing algorithms based on geometric point feature matchings that can handle both arbitrary rotations and large zoom factors. We discuss extensions of the methodology to related problems like the recovering of the epipolar geometry for 3d reconstruction and object recognition tasks.
ER -
English
