Image registration by local approximation methods
Image and Vision Computing
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Bezier and B-Spline Techniques
Bezier and B-Spline Techniques
Autocalibration from Planar Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Ego-Motion and Omnidirectional Cameras
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Linear auto-calibration for ground plane motion
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
On the global self-calibration of central cameras using two infinitesimal rotations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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We address and solve the self-calibration of a generic camera that performs planar motion while viewing (part of) a ground plane. Concretely, assuming initial sets of correspondences between several images of the ground plane as known, we are interested in determining both the camera motion and the geometry of the ground plane. The latter is obtained through the rectification of the image of the ground plane, which gives a bijective correspondence between pixels and points on the ground plane.We initially propose a method to determine the camera motion by using the motion flow between pairs of images. We perform this step with no need of camera calibration. Our solution requires the fixed ground point of the camera motion to be visible on both images.Once the camera motion is known, either by using our method or by other alternative means (e.g. GPS-based), we show that the rectification of the ground plane can be determined linearly from at least three images up to a scale factor. Experimental results on real images are presented at the end of the paper to validate the proposed methods.