Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
Journal of Mathematical Imaging and Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
International Journal of Computer Vision
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)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Affine Reconstruction from Translational Motion under Various Autocalibration Constraints
Journal of Mathematical Imaging and Vision
Hi-index | 0.00 |
In this paper a method for obtaining affine structure from an image sequence taken by a translating camera with constant intrinsic parameters is presented. A general geometric constraint, expressed using the camera matrices, is derived and this constraint is used in a least squares solution of the problem. The first step is to obtain a projective reconstruction, in the form of a sequence of camera matrices (and a sparse set of feature points), and then these constraints are used to upgrade to an affine reconstruction. The proposed algorithm extends previous results of affine structure recovery from two images with a translating camera to the general case of a sequence of images. The proposed method is illustrated in both simulated and real experiments.