Using vanishing points for camera calibration
International Journal of Computer Vision
Stratified Self-Calibration with the Modulus Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Direct Recovery of Planar-Parallax from Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Duality, Rigidity and Planar Parallax
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Camera calibration based on arbitrary parallelograms
Computer Vision and Image Understanding
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In this paper, we propose a new method to estimate an infinite homography between two views containing two arbitrary planar rectangles. The proposed method does not require metric measurements, such as rectangle lengths or aspect ratios of the rectangles. We introduce the concept of semi-metric cameras and show that the semi-metric cameras derived from different views that see an identical 3D rectangle, can be regarded purely translating cameras whose pixel is zero-skewed. New parameterization for infinite homography is developed based upon the semi-metric space, and this parameterization is used to propose a new algorithm to estimate infinite homography. As a direct application, we apply our algorithm to autocalibration for a scene only with a few feature points on each rectangles.