A theory of self-calibration of a moving camera
International Journal of Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Stratified Approach to Metric Self-Calibration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
In defence of the 8-point algorithm
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Euclidean Reconstruction from Constant Intrinsic Parameters
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Evolutionary Based Autocalibration from the Fundamental Matrix
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Analytic Reduction of the Kruppa Equations
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Globally Convergent Autocalibration Using Interval Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Focal length calibration from two views: method and analysis of singular cases
Computer Vision and Image Understanding
A convenient multicamera self-calibration for virtual environments
Presence: Teleoperators and Virtual Environments
Focal length calibration from two views: method and analysis of singular cases
Computer Vision and Image Understanding
Continuous stereo self-calibration by camera parameter tracking
IEEE Transactions on Image Processing
Camera self-calibration from bivariate polynomial equations and the coplanarity constraint
Image and Vision Computing
Direct 3D metric reconstruction from multiple views using differential evolution
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Globally Optimal Algorithms for Stratified Autocalibration
International Journal of Computer Vision
Degeneracy from twisted cubic under two views
Journal of Computer Science and Technology
Building detection and 3D reconstruction from two-view of monocular camera
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Robust linear auto-calibration of a moving camera from image sequences
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Building face reconstruction from sparse view of monocular camera
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
| Hi-index | 0.14 |
We consider the self-calibration problem for perspective cameras and especially the classical Kruppa equation approach. It is known that for several common types of camera motion, self-calibration is degenerate, which manifests itself through the existence of ambiguous solutions. In a previous paper, we have studied these critical motion sequences and have revealed their importance for practical applications. Here, we reveal a type of camera motion that is not critical for the generic self-calibration problem, but for which the Kruppa equation approach fails. This is the case if the optical centers of all cameras lie on a sphere and if the optical axes pass through the sphere's center, a very natural situation for 3D object modeling from images. Results of simulated experiments demonstrate the instability of numerical self-calibration algorithms in near-degenerate configurations.