15.2.1 Camera Pose

Chapter Contents (Back)
Camera Pose. Camera Calibration.

Chen, C.S.[Chu-Song], Chang, W.Y.[Wen-Yan],
On Pose Recovery for Generalized Visual Sensors,
PAMI(26), No. 7, July 2004, pp. 848-861.
IEEE Abstract. 0406
I.e. camera pose from a non-perspective camera. BibRef

Lin, W.Y.[Wen-Yan], Cheong, L.F.[Loong-Fah], Tan, P.[Ping], Dong, G.[Guo], Liu, S.Y.[Si-Ying],
Simultaneous Camera Pose and Correspondence Estimation with Motion Coherence,
IJCV(96), No. 2, February 2012, pp. 145-161.
WWW Link. 1201
BibRef

Lin, W.Y.[Wen Yan], Dong, G.[Guo], Tan, P.[Ping], Cheong, L.F.[Loong Fah], Yan, C.H.[Chye Hwang],
Simultaneous Camera Pose and Correspondence Estimation in Cornerless Images,
ICCV09(1179-1187).
IEEE DOI
PDF File. 0909
BibRef

Zhang, D.[Dong], Li, P.[Ping],
Camera Pose Estimation in Dynamic Scenes with Background Tracking,
Sensors(19), Special, February 2013, pp. 25-33.
HTML Version. 1302
BibRef

Alemán-Flores, M., Alvarez, L.[Luis], Gomez, L.[Luis], Henriquez, P.[Pedro], Mazorra, L.[Luis],
Camera calibration in sport event scenarios,
PR(47), No. 1, 2014, pp. 89-95.
Elsevier DOI 1310
BibRef
Earlier: A2, A3, A4, A5, Only:
Automatic Camera Pose Recognition in Planar View Scenarios,
CIARP12(406-413).
Springer DOI 1209
BibRef
Earlier: A2, A4, A5, Only:
Mathematical Models for the Calibration of Cameras Mounted on a Tripod Using Primitive Tracking,
ICIAR12(I: 304-311).
Springer DOI 1206
Camera calibration BibRef

Singhirunnusorn, K.[Khomsun], Fahimi, F.[Farbod], Aygun, R.S.[Ramazan S.],
Single-camera pose estimation using mirage,
IET-CV(12), No. 5, August 2018, pp. 720-727.
DOI Link 1807
BibRef

Fu, J.S.[Jun-Sheng], Pertuz, S.[Said], Matas, J.G.[Jiri G.], Kämäräinen, J.K.[Joni-Kristian],
Performance analysis of single-query 6-DoF camera pose estimation in self-driving setups,
CVIU(186), 2019, pp. 58-73.
Elsevier DOI 1908
Camera pose estimation, 3D point cloud, Hybrid method, Photometric matching, Mutual information, Self driving car BibRef

Zhang, X.[Xin], Jiang, Z.G.[Zhi-Guo], Zhang, H.[Haopeng],
Real-time 6D Pose Estimation from a Single RGB Image,
IVC(89), 2019, pp. 1-11.
Elsevier DOI 1909
6D pose estimation, Real-time processing, Coordinate localization, Backbone design BibRef

Julià, L.F.[Laura F.], Monasse, P.[Pascal], Pierrot-Deseilligny, M.[Marc],
The Orthographic Projection Model for Pose Calibration of Long Focal Images,
IPOL(9), 2019, pp. 231-250.
DOI Link 1909
Code, Pose Calibration. Matlab implementation. As in telecentric image.
See also Paraperspective Factorization Method for Shape and Motion Recovery, A.
See also Calibration of long focal length cameras in close range photogrammetry. BibRef

Sugaya, Y.[Yasuyuki], Ohseki, K.[Keita],
Bullet-time image generation without 3-D,
MVA19(1-6)
DOI Link 1911
Estimate 3-D camera pose and a 3-D position of a target point, then compute a homography that moves the target point to the image center. cameras, image matching, bullet-time image generation, 3D camera pose, 3D position, image matching technique, Estimation. BibRef

Campbell, D.[Dylan], Petersson, L.[Lars], Kneip, L.[Laurent], Li, H.D.[Hong-Dong],
Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation,
PAMI(42), No. 2, February 2020, pp. 328-342.
IEEE DOI 2001
BibRef
Earlier:
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence,
ICCV17(1-10)
IEEE DOI 1802
Cameras, Robustness, Optimization, Pose estimation, Geometry, Solid modeling, Camera pose estimation, branch-and-bound. computational geometry, feature extraction, optimisation, tree searching, 2D key-points, Uncertainty BibRef

Kneip, L.[Laurent], Li, H.D.[Hong-Dong],
Efficient Computation of Relative Pose for Multi-camera Systems,
CVPR14(446-453)
IEEE DOI 1409
Generalized Camera; Relative Pose; Structure from Motion BibRef

Mehralian, M.A.[Mohammad Amin], Soryani, M.[Mohsen],
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of Images,
IET-IPR(14), No. 15, 15 December 2020, pp. 3774-3780.
DOI Link 2103
BibRef

Charco, J.L.[Jorge L.], Sappa, A.D.[Angel D.], Vintimilla, B.X.[Boris X.], Velesaca, H.O.[Henry O.],
Camera pose estimation in multi-view environments: From virtual scenarios to the real world,
IVC(110), 2021, pp. 104182.
Elsevier DOI 2106
Relative camera pose estimation, Domain adaptation, Siamese architecture, Synthetic data, Multi-view environments BibRef

Fabbri, R.[Ricardo], Giblin, P.J.[Peter J.], Kimia, B.B.[Benjamin B.],
Camera Pose Estimation Using First-Order Curve Differential Geometry,
PAMI(43), No. 10, October 2021, pp. 3321-3332.
IEEE DOI 2109
BibRef
Earlier: A1, A3, A2: ECCV12(IV: 231-244).
Springer DOI 1210
Cameras, Geometry, Image reconstruction, Robustness, Image edge detection, differential geometry
See also Multiview Differential Geometry of Curves. BibRef

Brachmann, E.[Eric], Rother, C.[Carsten],
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC,
PAMI(44), No. 9, September 2022, pp. 5847-5865.
IEEE DOI 2208
BibRef
Earlier:
Learning Less is More: 6D Camera Localization via 3D Surface Regression,
CVPR18(4654-4662)
IEEE DOI 1812
Estimates the camera position and orientation from a single input image relative to a known environment. Cameras, Training, Visualization, Optimization, Neural networks, Solid modeling, Camera re-localization, pose estimation, differentiable PnP. Cameras, Pipelines, Solid modeling, Training, Task analysis, Neural networks BibRef

Wang, P.[Ping], Jiao, B.Q.[Bo-Qiao], Yao, P.P.[Peng-Peng], Wei, X.Y.[Xiao-Yuan], Zhang, A.[Aihua],
A robust direct linear transformation for camera pose estimation using points,
IVC(141), 2024, pp. 104883.
Elsevier DOI 2402
Perspective-n-point problem (PP), Relative position and attitude, Pose estimation BibRef


Cin, A.P.D.[Andrea Porfiri Dal], Boracchi, G.[Giacomo], Magri, L.[Luca],
Multi-body Depth and Camera Pose Estimation from Multiple Views,
ICCV23(17758-17768)
IEEE DOI Code:
WWW Link. 2401
BibRef

Sinha, S.[Samarth], Zhang, J.Y.[Jason Y.], Tagliasacchi, A.[Andrea], Gilitschenski, I.[Igor], Lindell, D.B.[David B.],
SparsePose: Sparse-View Camera Pose Regression and Refinement,
CVPR23(21349-21359)
IEEE DOI 2309

WWW Link. BibRef

Yang, K.[Karren], Firman, M.[Michael], Brachmann, E.[Eric], Godard, C.[Clément],
Camera Pose Estimation and Localization with Active Audio Sensing,
ECCV22(XXXVII:271-291).
Springer DOI 2211
BibRef

Parameshwara, C.M.[Chethan M.], Hari, G.[Gokul], Fermüller, C.[Cornelia], Sanket, N.J.[Nitin J.], Aloimonos, Y.[Yiannis],
DiffPoseNet: Direct Differentiable Camera Pose Estimation,
CVPR22(6835-6844)
IEEE DOI 2210
Structure from motion, Sensitivity, Pose estimation, Neural networks, Cameras, Robustness, Pose estimation and tracking, Robot vision BibRef

Avraham, G.[Gil], Straub, J.[Julian], Shen, T.W.[Tian-Wei], Yang, T.Y.[Tsun-Yi], Germain, H.[Hugo], Sweeney, C.[Chris], Balntas, V.[Vasileios], Novotny, D.[David], DeTone, D.[Daniel], Newcombe, R.[Richard],
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation,
IMW22(5057-5066)
IEEE DOI 2210
Solid modeling, Codes, Pose estimation, Rendering (computer graphics), Cameras BibRef

Germain, H.[Hugo], DeTone, D.[Daniel], Pascoe, G.[Geoffrey], Schmidt, T.[Tanner], Novotny, D.[David], Newcombe, R.[Richard], Sweeney, C.[Chris], Szeliski, R.[Richard], Balntas, V.[Vasileios],
Feature Query Networks: Neural Surface Description for Camera Pose Refinement,
IMW22(5067-5077)
IEEE DOI 2210
Location awareness, Visualization, Pose estimation, Neural networks, Force BibRef

Carcagnì, P.[Pierluigi], Leo, M.[Marco], Spagnolo, P.[Paolo], Mazzeo, P.L.[Pier Luigi], Distante, C.[Cosimo],
A Lightweight Model for Satellite Pose Estimation,
CIAP22(I:3-14).
Springer DOI 2205
BibRef

Aiger, D.[Dror], Lynen, S.[Simon], Hosang, J.[Jan], Zeisl, B.[Bernhard],
Efficient Large Scale Inlier Voting for Geometric Vision Problems,
ICCV21(3223-3231)
IEEE DOI 2203
Camera Pose. Point cloud compression, Runtime, Fitting, Pose estimation, Transforms, Cameras, Detection and localization in 2D and 3D, Vision for robotics and autonomous vehicles BibRef

Germain, H.[Hugo], Lepetit, V.[Vincent], Bourmaud, G.[Guillaume],
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation,
CVPR21(414-423)
IEEE DOI 2111
Geometry, Deep learning, Pose estimation, Merging, Memory management BibRef

Pan, L.F.[Lin-Fei], Pollefeys, M.[Marc], Larsson, V.[Viktor],
Camera Pose Estimation using Implicit Distortion Models,
CVPR22(12809-12818)
IEEE DOI 2210
Solid modeling, Visualization, Computational modeling, Pose estimation, Cameras, Distortion, 3D from multi-view and sensors BibRef

Bui, M., Baur, C., Navab, N., Ilic, S., Albarqouni, S.,
Adversarial Networks for Camera Pose Regression and Refinement,
DeepSLAM19(3778-3787)
IEEE DOI 2004
cameras, image colour analysis, camera pose refinement, learning (artificial intelligence), neural nets, pose estimation. BibRef

Seifi, S., Tuytelaars, T.,
How to Improve CNN-Based 6-DoF Camera Pose Estimation,
DeepSLAM19(3788-3795)
IEEE DOI 2004
convolutional neural nets, image resolution, learning (artificial intelligence), pose estimation, Posenet BibRef

Chen, B., Cao, J., Parra, A., Chin, T.,
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement,
R6D19(2816-2824)
IEEE DOI 2004
image reconstruction, learning (artificial intelligence), pose estimation, Satellite pose estimation BibRef

Peng, S., Sturm, P.,
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty,
ICCV19(1497-1505)
IEEE DOI 2004
calibration, cameras, geometry, camera calibration, geometric uncertainty, corner uncertainty, camera poses, Computational modeling BibRef

Sattler, T.[Torsten], Zhou, Q.[Qunjie], Pollefeys, M.[Marc], Leal-Taixe, L.[Laura],
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression,
CVPR19(3297-3307).
IEEE DOI 2002
BibRef

Nakashima, R.[Ryo], Seki, A.[Akihito],
SIR-Net: Scene-Independent End-to-End Trainable Visual Relocalizer,
3DV19(472-481)
IEEE DOI 1911
Estimate the camera pose where a given query image is taken. Task analysis, Training, Image retrieval, Computer architecture, Visualization, deep learning BibRef

En, S.[Sovann], Lechervy, A.[Alexis], Jurie, F.[Frédéric],
RPNet: An End-to-End Network for Relative Camera Pose Estimation,
4DPose18(I:738-745).
Springer DOI 1905
BibRef

Kasten, Y., Galun, M., Basri, R.,
Resultant Based Incremental Recovery of Camera Pose From Pairwise Matches,
WACV19(1080-1088)
IEEE DOI 1904
cameras, feature extraction, image matching, image reconstruction, matrix algebra, pose estimation, camera matrices, Matrix decomposition BibRef

Larsson, V., Kukelova, Z., Zheng, Y.,
Camera Pose Estimation with Unknown Principal Point,
CVPR18(2984-2992)
IEEE DOI 1812
Cameras, Pose estimation, Nonlinear distortion, Transmission line matrix methods, Lenses BibRef

Mills, S.,
Four- and Seven-Point Relative Camera Pose from Oriented Features,
3DV18(218-227)
IEEE DOI 1812
cameras, image motion analysis, image sensors, position measurement, stereo image processing, oriented features BibRef

Cheng, C., Hao, X., Li, J.,
Relative Camera Pose Estimation Method Using Optimization On The Manifold,
Hannover17(41-46).
DOI Link 1805
BibRef

Meng, L.[Lili], Chen, J.H.[Jian-Hui], Tung, F.[Frederick], Little, J.J.[James J.], Silva, C.[Clarence],
Exploiting Random RGB and Sparse Features for Camera Pose Estimation,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Laskar, Z., Melekhov, I.[Iaroslav], Kalia, S., Kannala, J.H.[Ju-Ho],
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network,
DeepLearn-G17(920-929)
IEEE DOI 1802
Cameras, Databases, Feature extraction, Neural networks, Training, Visualization BibRef

Melekhov, I.[Iaroslav], Ylioinas, J.[Juha], Kannala, J.H.[Ju-Ho], Rahtu, E.[Esa],
Image-Based Localization Using Hourglass Networks,
DeepLearn-G17(870-877)
IEEE DOI 1802
BibRef
And:
Relative Camera Pose Estimation Using Convolutional Neural Networks,
ACIVS17(675-687).
Springer DOI 1712
Cameras, Computer architecture, Convolutional codes, Decoding, Feature extraction, Solid modeling. BibRef

Feng, W.[Wei], Tian, F.P.[Fei-Peng], Zhang, Q.[Qian], Sun, J.Z.[Ji-Zhou],
6D Dynamic Camera Relocalization from Single Reference Image,
CVPR16(4049-4057)
IEEE DOI 1612
Get the camera position by iterative adjustment. BibRef

Kendall, A.[Alex], Cipolla, R.[Roberto],
Geometric Loss Functions for Camera Pose Regression with Deep Learning,
CVPR17(6555-6564)
IEEE DOI 1711
Cameras, Geometry, Machine learning, Measurement, Neural networks, Quaternions, Robustness BibRef

Nagayoshi, H.[Hiroto], Pollefeys, M.[Mark],
Estimating Camera Pose Using Trajectories Generated by Pan-Tilt Motion,
3DV14(561-568)
IEEE DOI 1503
Calibration BibRef

Mayer, H.[Helmut],
Efficient Hierarchical Triplet Merging for Camera Pose Estimation,
GCPR14(399-409).
Springer DOI 1411
camera pose estimation for difficult scenes BibRef

Santa, Z., Kato, Z.,
Pose Estimation of Ad-Hoc Mobile Camera Networks,
DICTA13(1-8)
IEEE DOI 1402
cameras BibRef

Antone, M.E.[Matthew E.],
Robust Camera Pose Recovery Using Stochastic Geometry,
Ph.D.Thesis, Massachusetts Institute of Technology, 2001.
PDF File. BibRef 0100

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Orbit Determination .


Last update:Apr 18, 2024 at 11:38:49