Some Properties of the E Matrix in Two-View Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stratified Self-Calibration with the Modulus Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Autocalibration Algorithm: Experimental Evaluation
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Scene point constraints in camera auto-calibration: an implementational perspective
Image and Vision Computing
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In this paper, we propose a method that combines plane parallelism and the Mendonça/Cipolla self-calibration constraints. In our method each pair of images is treated independently and can therefore use a different pair of parallel planes not necessarily visible in the other views. While, for each pair of images, constraints on the singular values of the essential matrix provide two algebraic constraints on the intrinsic parameters, those we derive from plane parallelism have the advantage of providing two additional ones making the calibration of a no-skew camera possible from two images only.