Geometric invariance in computer vision
Geometric invariance in computer vision
3D motion recovery via affine epipolar geometry
International Journal of Computer Vision
A Paraperspective Factorization Method for Shape and Motion Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Robust detection of degenerate configurations while estimating the fundamental matrix
Computer Vision and Image Understanding
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Iterative Extensions of the Sturm/Triggs Algorithm: Convergence and Nonconvergence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
The quasi-perspective model: Geometric properties and 3D reconstruction
Pattern Recognition
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Two-view geometry under quasi-perspective camera model and some new results are reported in the paper. Firstly, we prove that quasi fundamental matrix can be simplified to a special form with six degrees of freedom and it is invariant to any non-singular projective transformation. Secondly, the plane induced homography under quasi-perspective model can be simplified to a special form defined by six degrees of freedom. Quasi homography may be recovered from only two pairs of correspondences with known fundamental matrix. Extensive tests on synthetic and real images are performed to validate the results.