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Estimating the Fundamental Matrix Using Second-Order Cone Programming
[chapter]
2011
Lecture Notes in Computer Science
Computing the fundamental matrix is the first step of many computer vision applications including camera calibration, image rectification and structure from motion. A new method for the estimation of the fundamental matrix from point correspondences is presented. The minimization of the geometric error is performed based L-infinity norm minimization framework. A single global minimum exists and it may be found by SOCP (Second-Order Cone Programming), which is a standard technique in convex
doi:10.1007/978-3-642-23896-3_72
fatcat:bo7gnof6j5do3ilghcsxbiej6q