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 membentangkan dua kaedah anggaran untuk putaran kamera daripada dua imej yang diperolehi oleh kamera aktif sebelum dan selepas putaran. Berdasarkan perwakilan kumpulan putaran unjuran, ciri momen kuasi dibina. Putaran kamera boleh dianggarkan dengan menggunakan penguraian nilai tunggal (SVD) atau kaedah Newton untuk menegangkan ciri momen kuasi. Dalam kedua-dua kes, kita boleh menganggarkan putaran 3D kamera aktif daripada hanya dua imej yang ditayangkan. Kami juga memberikan beberapa eksperimen untuk anggaran putaran kamera aktif sebenar untuk menunjukkan keberkesanan kaedah ini.
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Salinan
Hiroyuki SHIMAI, Toshikatsu KAWAMOTO, Takaomi SHIGEHARA, Taketoshi MISHIMA, Masaru TANAKA, Takio KURITA, "Estimation of Camera Rotation Using Quasi Moment Features" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 6, pp. 1005-1013, June 2000, doi: .
Abstract: We present two estimation methods for camera rotation from two images obtained by the active camera before and after rotation. Based on the representation of the projected rotation group, quasi moment features are constructed. Camera rotation can be estimated by applying the singular value decomposition (SVD) or Newton's method to tensor quasi moment features. In both cases, we can estimate 3D rotation of the active camera from only two projected images. We also give some experiments for the estimation of the actual active camera rotation to show the effectiveness of these methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_6_1005/_p
Salinan
@ARTICLE{e83-a_6_1005,
author={Hiroyuki SHIMAI, Toshikatsu KAWAMOTO, Takaomi SHIGEHARA, Taketoshi MISHIMA, Masaru TANAKA, Takio KURITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Estimation of Camera Rotation Using Quasi Moment Features},
year={2000},
volume={E83-A},
number={6},
pages={1005-1013},
abstract={We present two estimation methods for camera rotation from two images obtained by the active camera before and after rotation. Based on the representation of the projected rotation group, quasi moment features are constructed. Camera rotation can be estimated by applying the singular value decomposition (SVD) or Newton's method to tensor quasi moment features. In both cases, we can estimate 3D rotation of the active camera from only two projected images. We also give some experiments for the estimation of the actual active camera rotation to show the effectiveness of these methods.},
keywords={},
doi={},
ISSN={},
month={June},}
Salinan
TY - JOUR
TI - Estimation of Camera Rotation Using Quasi Moment Features
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1005
EP - 1013
AU - Hiroyuki SHIMAI
AU - Toshikatsu KAWAMOTO
AU - Takaomi SHIGEHARA
AU - Taketoshi MISHIMA
AU - Masaru TANAKA
AU - Takio KURITA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2000
AB - We present two estimation methods for camera rotation from two images obtained by the active camera before and after rotation. Based on the representation of the projected rotation group, quasi moment features are constructed. Camera rotation can be estimated by applying the singular value decomposition (SVD) or Newton's method to tensor quasi moment features. In both cases, we can estimate 3D rotation of the active camera from only two projected images. We also give some experiments for the estimation of the actual active camera rotation to show the effectiveness of these methods.
ER -