15.2.13.1 Calibration Using Line Features, Lines

Chapter Contents (Back)
Camera Calibration. Line Features.

Liu, Y., Huang, T.S., and Faugeras, O.D.,
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences,
PAMI(12), No. 1, January 1990, pp. 28-37.
IEEE DOI BibRef 9001
Earlier: CVPR88(82-88).
IEEE DOI Perspective assumption. 8 line correspondences or 6 point correspondences are required for a linear solution. 3 lines or points are needed for nonlinear. Correspondence is 2-D image to 3-D model. How does this correspond to the photogrammetry approaches? BibRef

Chen, S.Y.[Shu-Yuan], Tsai, W.H.[Wen-Hsiang],
A Systematic Approach to Analytic Determination of Camera Parameters by Line Features,
PR(23), No. 8, 1990, pp. 859-877.
Elsevier DOI BibRef 9000

Dell'Acqua, A.[Andrea], Sarti, A.[Augusto], Tubaro, S.[Stefano],
3D Motion from structures of points, lines and planes,
IVC(26), No. 4, April 2008, pp. 529-549.
Elsevier DOI 0711
BibRef
Earlier:
Three-view camera calibration using geometric algebra,
ICIP03(I: 305-308).
IEEE DOI 0312
Camera tracking; Geometric Algebra; Extended Kalman Filter Camera Motion using lines and planes. BibRef

Defferara, C., Negroni, F., Sarti, A., Tubaro, S.,
New perspectives on camera calibration using geometric algebra,
ICIP02(II: 573-576).
IEEE DOI 0210
BibRef

Grossmann, E.[Etienne], Lee, E.J.[Eun-Joo], Hislop, P.[Peter], Nistér, D.[David], Stewénius, H.[Henrik],
Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?,
CVPR06(I: 1222-1229).
IEEE DOI 0606
BibRef

Urfalioglu, O.[Onay], Thormählen, T.[Thorsten], Broszio, H.[Hellward], Mikulastik, P.A.[Patrick A.], Cetin, A.E.[A. Enis],
Algebraic error analysis of collinear feature points for camera parameter estimation,
CVIU(115), No. 4, April 2011, pp. 467-475.
Elsevier DOI 1103
Collinear; Covariance propagation; Error analysis; Cramer-Rao bounds; ML-estimation; Camera parameter estimation BibRef

Mikulastik, P.A.[Patrick A.], Broszio, H.[Hellward], Thormählen, T.[Thorsten], Urfalioglu, O.[Onay],
Error Analysis of Feature Based Disparity Estimation,
PSIVT06(1-12).
Springer DOI 0612
BibRef
And: A4, A3, A2, A1:
Error Analysis of Camera Parameter Estimation based on Collinear Features,
CRV06(32-32).
IEEE DOI 0607
BibRef

Chaperon, T.[Thomas], Droulez, J.[Jacques], Thibault, G.[Guillaume],
Reliable camera pose and calibration from a small set of point and line correspondences: A probabilistic approach,
CVIU(115), No. 5, May 2011, pp. 576-585.
Elsevier DOI 1103
BibRef
Earlier:
A probabilistic approach to camera pose and calibration from a small set of point and line correspondences,
3DIM09(1678-1685).
IEEE DOI 0910
Camera calibration; Camera pose with unknown focal length; 2D-3D registration; Point and line correspondences; Probabilistic estimation; Parameter decomposition; Separable least-squares problem; Variable projection; Partially linear problem; Maximum A Posteriori (MAP) BibRef

Cao, J.S.[Jin-Shan], Yuan, X.X.[Xiu-Xiao], Fang, Y.[Yi],
Tri-Stereo Model Orientation of High-Resolution Satellite Imagery Combining Ground Control Points and Lines,
PFG(2016), No. 3, 2013, pp. 125-140.
DOI Link 1611
BibRef

Bok, Y.[Yunsu], Jeon, H.G.[Hae-Gon], Kweon, I.S.[In So],
Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features,
PAMI(39), No. 2, February 2017, pp. 287-300.
IEEE DOI 1702
BibRef
Earlier: ECCV14(VI: 47-61).
Springer DOI 1408
Apertures BibRef

Liu, Y.L.[Yan-Li], Chen, X.H.[Xiang-Hui], Gu, T.L.[Tian-Lun], Zhang, Y.C.[Yan-Ci], Xing, G.Y.[Guan-Yu],
Real-time camera pose estimation via line tracking,
VC(34), No. 6-8, June 2018, pp. 899-909.
WWW Link. 1806
BibRef

Zhao, J.[Ji], Kneip, L.[Laurent], He, Y.J.[Yi-Jia], Ma, J.[Jiayi],
Minimal Case Relative Pose Computation Using Ray-Point-Ray Features,
PAMI(42), No. 5, May 2020, pp. 1176-1190.
IEEE DOI 2004
Transmission line matrix methods, Cameras, Pose estimation, Feature extraction, Geometry, ray-point-ray structures BibRef

Yu, Q.[Qida], Xu, G.[Guili], Cheng, Y.H.[Yue-Hua],
An efficient and globally optimal method for camera pose estimation using line features,
MVA(31), No. 6, August 2020, pp. Article48.
WWW Link. 2008
BibRef

Sun, Y.B.[Yan-Biao], Robson, S.[Stuart], Scott, D.[Daniel], Boehm, J.[Jan], Wang, Q.A.[Qi-Ang],
Automatic sensor orientation using horizontal and vertical line feature constraints,
PandRS(150), 2019, pp. 172-184.
Elsevier DOI 1903
Sensor orientation, Line features, Bundle adjustment, Horizontal lines, Vertical lines BibRef

Chuang, J.H., Ho, C.H., Umam, A., Chen, H.Y., Hwang, J.N., Chen, T.A.,
Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line,
IP(30), 2021, pp. 2599-2610.
IEEE DOI 2102
Calibration, Cameras, Optical wavelength conversion, Closed-form solutions, Transforms, outlier removal BibRef


Zhang, X., Sun, X., Yuan, Y., Zhu, Z., Yu, Q.,
Iterative Determination of Camera Pose From Line Features,
ISPRS12(XXXIX-B3:81-86).
DOI Link 1209
BibRef

Baker, P.[Patrick], Aloimonos, Y.[Yiannis],
Rotations, Lines, and Multilinear Constraints,
UMD-- TR4420, November 2002.
WWW Link. BibRef 0211

Baker, P.[Patrick], Aloimonos, Y.[Yiannis],
Complete Calibration of a Multi-camera Network,
OMNIVIS00(xx-yy). 0012
BibRef

Baker, P.[Patrick],
Lines as the Fundamental Unit of Vision,
WTRCV02(87-106). 0204
BibRef

Mitschke, M.M.[Matthias M.], Navab, N.[Nassir],
Recovering Projection Geometry: How a Cheap Camera Can Outperform an Expensive Stereo System,
CVPR00(I: 193-200).
IEEE DOI 0005
BibRef

Hanek, R.[Robert], Navab, N.[Nassir], Appel, M.[Mirko],
Yet Another Method for Pose Estimation: A Probabilistic Approach using Points, Lines, and Cylinders,
CVPR99(II: 544-550).
IEEE DOI
See also Canonical Representation and Multi-View Geometry of Cylinders. BibRef 9900

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicles .


Last update:Oct 20, 2021 at 09:45:26