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Springer DOI
BibRef
9001
Earlier:
DARPA88(826-837).
BibRef
And:
MIT AI Memo-994, September 1987.
Motion, Two Frames.
This is also heavily used in the two-frame motion estimation work.
Use the standard photogrammetry techniques to find the relative
orientation of two cameras. An iterative scheme that requires five
matching points (not on a critical surface).
See also Closed Form Solutions of Absolute Orientation Using Orthonormal Matrices.
BibRef
Horn, B.K.P.,
Relative Orientation Revisited,
JOSA-A(8), No. 10, October 1991, pp. 1630-1638
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Kumar, R., and
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9411
Earlier:
Application of Pose Determination Techniques to
Model Extension and Refinement,
DARPA92(737-744).
BibRef
Earlier:
Sensitivity of the Pose Refinement
Problem to Accurate Estimation of Camera Parameters,
ICCV90(365-369).
IEEE DOI
BibRef
And:
Pose Refinement: Application to Model
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DARPA90(660-669).
BibRef
And:
COINS-TR-90-112, November 1990.
Pose Estimation, Evaluation. Analysis of the errors that occur. Eliminate the outliers to improve results.
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Kumar, R., and
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Analysis of Different Robust Methods for Pose Refinement,
Robust90(xx).
BibRef
9000
Earlier:
Robust Estimation of Camera Location and
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3DWS89(52-60).
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And:
COINS-TR-89-120, December 1989.
BibRef
Kumar, R.,
Determination of Camera Location and Orientation,
DARPA89(870-881).
Given 2-D matching of landmarks in a scene, find the
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8900
Palm, C.S.[Charles S.],
Methods and apparatus for using image data to
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PAMI(21), No. 8, August 1999, pp. 774-780.
IEEE DOI
BibRef
9908
Earlier:
Linear N >=4-Point Pose Determination,
ICCV98(778-783).
IEEE DOI 4 and 5 points in particular.
Camera position and orientation from known correspondences.
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Quan, L.[Long],
Uncalibrated 1D Camera and 3D Affine Reconstruction of Lines,
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IEEE DOI
9704
Lines in 3 views; 3D lines into 2D points; tensor rep of 3 views.
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Lue, Y.,
One-Step to a Higher-Level of Automation for Softcopy Photogrammetry
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PandRS(52), No. 3, June 1997, pp. 103-109.
9708
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Drewniok, C.,
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Exterior Orientation:
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9708
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Automatic Interior Orientation of Digital Aerial Images,
PhEngRS(63), No. 8, August 1997, pp. 1007-1011.
9708
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PhEngRS(62), No. 1, January 1996, pp. 47-55.
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Ji, Q.A.[Qi-Ang],
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0008
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Lee, C.N.[Chung-Nan],
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Statistical Estimation for Exterior Orientation from
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IVC(14), No. 6, June 15 1996, pp. 379-388.
Elsevier DOI
9607
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Fiore, P.D.[Paul D.],
Efficient Linear Solution of Exterior Orientation,
PAMI(23), No. 2, February 2001, pp. 140-148.
IEEE DOI
0102
BibRef
Earlier:
Linear Epipolar Algorithm for Multiframe Orientation,
ICIP00(Vol I: 557-560).
IEEE DOI
0008
Isolate the unknown depths of feature points to get a absolute orientation
plus scale problem, then use SVD.
BibRef
Tommaselli, A.M.G.[Antonio Maria Garcia],
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A Photogrammetric Method for Single Image Orientation and Measurement,
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0804
High resolution satellite imagery; Orientation; Accuracy assessment;
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1202
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Optical measurement of high-frequency orientation changes of remote
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PDF File.
1006
Line camera; Exterior orientation; Feature matching; Optical
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1202
GNSS; INS; Relative; Integrated sensor orientation
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Elsevier DOI
1208
GNSS; INS; Orientation; Calibration; Camera; Adjustment
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Exterior orientation of CBERS-2B imagery using multi-feature control
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Elsevier DOI
1305
Pushbroom; Satellite; Orientation; Triangulation; Straight lines
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1312
Grid mask
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attitude measurement
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1603
Interpolation
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1609
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Cao, J.,
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ground control points, orientation accuracy,
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1908
Aerial spectroscopy, UAS, UAV, Boresight, Lever-arm,
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Camera pose estimation, Direct relative orientation,
Iterative method, Parameterization, Gross detection and elimination
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Xiao, B.[Bing],
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Large-Angle Velocity-Free Attitude Tracking Control of Satellites:
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Cyber(51), No. 9, September 2021, pp. 4722-4732.
IEEE DOI
2109
Attitude control, Satellites, Angular velocity, Observers,
Stability analysis, Velocity measurement, Output feedback,
satellite
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Zhang, J.H.[Jin-Hui],
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Shen, G.[Ganghui],
Xia, Y.Q.[Yuan-Qing],
Disturbance Observer-Based Adaptive Finite-Time Attitude Tracking
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SMCS(51), No. 11, November 2021, pp. 6606-6613.
IEEE DOI
2110
Attitude control, Space vehicles, Uncertainty, Quaternions,
Angular velocity, Mathematical model, Observers, Adaptive control,
sliding mode control (SMC)
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Neural-Network-Based Adaptive Singularity-Free Fixed-Time Attitude
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Cyber(51), No. 10, October 2021, pp. 5032-5045.
IEEE DOI
2110
Space vehicles, Attitude control, Convergence,
Materials requirements planning, Switches, Actuators,
neural network (NN)
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Garcia-Salguero, M.[Mercedes],
Briales, J.[Jesus],
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Elsevier DOI
2105
Relative pose, Essential matrix, Epipolar constraint,
Convex programming, Certifiable algorithm,
Linear Independence constraint qualification
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Briales, J.[Jesus],
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Gonzalez-Jimenez, J.[Javier],
A Certifiably Globally Optimal Solution to the Non-minimal Relative
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CVPR18(145-154)
IEEE DOI
1812
Optimization, Cameras, Covariance matrices,
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Certifiable algorithms for the two-view planar triangulation problem,
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2212
Two-view planar triangulation, Primal-dual solver,
Optimality certificate, Sufficient optimality condition
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Dai, Y.C.[Yu-Chao],
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Relative Pose Estimation for Light Field Cameras Based on
LF-Point-LF-Point Correspondence Model,
IP(31), 2022, pp. 1641-1656.
IEEE DOI
2202
Cameras, Pose estimation, Manifolds, Solid modeling,
Point cloud compression, Apertures, Relative pose estimation,
non-linear optimization on manifold
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Maiwald, F.[Ferdinand],
Bruschke, J.[Jonas],
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Image-based Orientation Determination of Mobile Sensor Platforms,
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Learning Neural Representation of Camera Pose with Matrix
Representation of Pose Shift via View Synthesis,
CVPR21(9954-9963)
IEEE DOI
2111
Shape, Algebra, Quaternions, Cameras, Matrices
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Snavely, N.[Noah],
Makadia, A.[Ameesh],
Wide-Baseline Relative Camera Pose Estimation with Directional
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CVPR21(3257-3267)
IEEE DOI
2111
Training, Visualization, Solid modeling,
Pose estimation, Cameras, Probabilistic logic
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Zhuang, B.B.[Bing-Bing],
Chandraker, M.[Manmohan],
Fusing the Old with the New: Learning Relative Camera Pose with
Geometry-Guided Uncertainty,
CVPR21(32-42)
IEEE DOI
2111
Deep learning, Training, Learning systems, Uncertainty,
Pose estimation, Pipelines, Probabilistic logic
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Chen, X.,
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Satellite Imaging Direction Angles Estimation Method Based on Rational
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2012
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Kurz, F.,
Krauß, T.,
Runge, H.,
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d'Angelo, P.,
Precise Aerial Image Orientation Using SAR Ground Control Points For
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Semantics3D19(61-66).
DOI Link
1912
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Xian, W.,
Li, Z.,
Snavely, N.,
Fisher, M.,
Eisenman, J.,
Shechtman, E.,
UprightNet: Geometry-Aware Camera Orientation Estimation From Single
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ICCV19(9973-9982)
IEEE DOI
2004
cameras, image colour analysis, image sensors,
learning (artificial intelligence), pose estimation, Machine learning
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Block Adjustment of Large-scale High-resolution Optical Satellite
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1912
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Olmschenk, G.,
Tang, H.,
Zhu, Z.,
Pitch and Roll Camera Orientation from a Single 2D Image Using
Convolutional Neural Networks,
CRV17(261-268)
IEEE DOI
1804
convolution, feedforward neural nets,
regression analysis, CNNs, computer vision tasks,
convolutional neural network
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Saealal, M.S.,
Derawi, D.,
Salim, N.D.,
Tumari, M.Z.M.,
Real-Time Nonlinear Complementary Filter on SO(3) for Attitude
Estimation of Small-Scale Aerial Robot,
ICVISP17(109-113)
IEEE DOI
1712
Signal processing, Real-time implementation, attitude estimation,
extended Kalman filter, nonlinear complimentary filter,
small-scale aerial robots.
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Xiong, Z.,
Stanley, D.,
Xin, Y.,
Automatic Kappa Angle Estimation For Air Photos Based On Phase Only
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ISPRS16(B3: 131-135).
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1610
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He, F.,
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Performance Evaluation of Alternative Relative Orientation Procedures
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1610
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Accuracy of Measurements in Oblique Aerial Images for Urban Environment,
GeoInfo16(79-85).
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1612
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Gerke, M.,
Nex, F.,
Remondino, F.,
Jacobsen, K.,
Kremer, J.,
Karel, W.,
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1610
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Karel, W.,
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1610
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Camera orientation.
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1311
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A pose measurement method of a non-cooperative GEO spacecraft based on
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1304
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1304
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Extrinsic Camera Calibration Method and Its Performance Evaluation,
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1210
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A Design Framework for an Integrated Sensor Orientation Simulator,
ISVC12(II: 568-577).
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1209
Exterior orientation
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Photogrammetric Model Based Method of Automatic Orientation of Space
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Fully Automated Image Orientation in the Absence of Targets,
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Recent Developments in Triadigit AAT System
Find and measure the fiducial marks.
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Exterior Orientation Using Coplanar Parallel Lines,
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Camera Calibration ZY-3, ZiYuan-3 .