Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2018.00032 ◽

2018 ◽

Cited By ~ 7

Author(s):

Daniel Barath

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation ◽

Uncalibrated Cameras

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An Extended System Method for Consistent Fundamental Matrix Estimation

Lecture Notes in Computer Science - Advances in Intelligent Computing ◽

10.1007/11538059_37 ◽

2005 ◽

pp. 350-359

Author(s):

Huixiang Zhong ◽

Yueping Feng ◽

Yunjie Pang

Keyword(s):

Fundamental Matrix ◽

Extended System ◽

Matrix Estimation ◽

System Method

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Method for Fundamental Matrix Estimation Combined with Line Features

Acta Optica Sinica ◽

10.3788/aos201333.1015003 ◽

2013 ◽

Vol 33 (10) ◽

pp. 1015003

Author(s):

周凡 Zhou Fan ◽

邵世维 Shao Shiwei ◽

吴建华 Wu Jianhua ◽

付仲良 Fu Zhongliang

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation ◽

Line Features

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Fast and Robust Algorithm for Fundamental Matrix Estimation

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-319-20801-5_34 ◽

2015 ◽

pp. 316-322 ◽

Cited By ~ 1

Author(s):

Ming Zhang ◽

Guanghui Wang ◽

Haiyang Chao ◽

Fuchao Wu

Keyword(s):

Fundamental Matrix ◽

Robust Algorithm ◽

Matrix Estimation

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Epipole and fundamental matrix estimation using virtual parallax

Proceedings of IEEE International Conference on Computer Vision ◽

10.1109/iccv.1995.466821 ◽

2002 ◽

Cited By ~ 31

Author(s):

B. Boufama ◽

R. Mohr

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation

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Robust and accurate fundamental matrix estimation with propagated matches

Optical Engineering ◽

10.1117/1.3490415 ◽

2010 ◽

Vol 49 (10) ◽

pp. 107002 ◽

Cited By ~ 3

Author(s):

Yanli Wan

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation

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Why not use the Levenberg–Marquardt method for fundamental matrix estimation?

IET Computer Vision ◽

10.1049/iet-cvi.2009.0146 ◽

2010 ◽

Vol 4 (4) ◽

pp. 286 ◽

Cited By ~ 10

Author(s):

P. Chen

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation ◽

Marquardt Method ◽

Levenberg Marquardt

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A convex optimization approach to robust fundamental matrix estimation

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2015.7298829 ◽

2015 ◽

Cited By ~ 4

Author(s):

Y. Cheng ◽

J. A. Lopez ◽

O. Camps ◽

M. Sznaier

Keyword(s):

Convex Optimization ◽

Fundamental Matrix ◽

Optimization Approach ◽

Matrix Estimation

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Soft decision optimization method for robust fundamental matrix estimation

Machine Vision and Applications ◽

10.1007/s00138-019-01019-7 ◽

2019 ◽

Vol 30 (4) ◽

pp. 657-669 ◽

Cited By ~ 2

Author(s):

Chun-Bao Xiao ◽

Da-Zheng Feng ◽

Ming-Dong Yuan

Keyword(s):

Fundamental Matrix ◽

Optimization Method ◽

Soft Decision ◽

Matrix Estimation ◽

Decision Optimization

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Clustering Assisted Fundamental Matrix Estimation

Computer Science & Information Technology ( CS & IT ) ◽

10.5121/csit.2015.50604 ◽

2015 ◽

Author(s):

Hao Wu ◽

Yi Wan

Keyword(s):

Fundamental Matrix ◽

Matrix Estimation

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A new approach to robust fundamental matrix estimation using an analytic objective function and adjusted gradient projection

Eleventh International Conference on Digital Image Processing (ICDIP 2019) ◽

10.1117/12.2539648 ◽

2019 ◽

Author(s):

Cuibing Du ◽

Zongqing Lu ◽

Jing-Hao Xue ◽

Qingmin Liao

Keyword(s):

Objective Function ◽

Fundamental Matrix ◽

Gradient Projection ◽

New Approach ◽

Matrix Estimation

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