Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Multiview Constraints on Homographies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Duality, Rigidity and Planar Parallax
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
The Rank 4 Constraint in Multiple (=3) View Geometry
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Multi-View Subspace Constraints on Homographies
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Automatic matching and motion estimation from two views of a multiplane scene
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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This paper deals with the computation of homographies from two views in a multi-plane scene. In the general case, homographies can be determined using four matched points or lines belonging to planes. We propose an alternative method when a first homography has been obtained, and then three matches are sufficient to compute a second homography. This process is based on the geometric constraint introduced by the first homography. In this work, the extraction and matching of features, points or lines, is automatically performed using robust techniques. Experimental results with synthetic data and real images show the advantages of this approach. Besides, the performance using points or lines as image features is compared.