Robust regression and outlier detection
Robust regression and outlier detection
A theory of self-calibration of a moving camera
International Journal of Computer Vision
Geometric computation for machine vision
Geometric computation for machine vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Projective Reconstruction and Invariants from Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Modeling and calibration of automated zoom lenses
Modeling and calibration of automated zoom lenses
Computation of ego motion using the vertical cue
Machine Vision and Applications
Artificial Intelligence - Special volume on computer vision
Projective Structure from Uncalibrated Images: Structure From Motion and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Navigation using Affine Structure from Motion
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Using Singular Displacements for Uncalibrated Monocular Visual Systems
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Euclidean 3D Reconstruction from Stereo Sequences with Variable Focal Lengths
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
An Assessment of Information Criteria for Motion Model Selection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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)
A linear method for reconstruction from lines and points
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Active visual navigation using non-metric structure
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Robust detection of degenerate configurations for the fundamental matrix
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Dynamic Foveal 3D Sensing Using Affine Models
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
International Journal of Computer Vision
Epipolar Geometry from Profiles under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Implementing a Multi-Model Estimation Method
International Journal of Computer Vision
Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Circular Motion Geometry Using Minimal Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hi-index | 0.00 |
Considering the field of un-calibrated image sequences andself-calibration, this paper analyzes the use of specificdisplacements (such as fixed axis rotation, pure translations,...) orspecific sets of camera parameters. This allows to induce affine ormetric constraints, which can lead to self-calibration and 3Dreconstruction.A uniformed formalism for such models already developed in the literature plussome novel models are developed here. A hierarchy of special situations isdescribed, in order to tailor the most appropriate camera model to either theactual robotic device supporting the camera, or to tailor the fact we onlyhave a reduced set of data available.This visual motion perception module leads to the estimation of a minimal3D parameterization of the retinal displacement for a monocularvisual system without calibration, and leads to self-calibration and3D dynamic analysis.The implementation of these equations is analyzed and experimented.