Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A direct linear solution with Jacobian optimization to AX=XB for hand-eye calibration
WSEAS Transactions on Systems and Control
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This work presents a novel and simplified technique to estimate the perspective projective matrix elements of calibration matrix for pinhole model in Digital Camera Calibration. The "perspective projective matrix parameters" are variables depending of environmental changes and position and/or orientation camera so we propose a dynamical and stochastic method to model the uncertain in the parameters estimation. It is well suited for use without specialized knowledge of 3D geometry or computer vision. Two morphological matrix operations are introduced: Central(Xk, Yk) and Column(Mk) to generalize the process which obtain the estimated parameters based on pseudo-inverse calculus without consider measures errors, this calibration procedure focus only on perspective projective matrix elements. The mean value respect to 3D points and 2D points used as input information. The theoretical results give a good enough approximation result considering the pseudo-inverse matrix calculus method. In the same sense, the experimental results showed a satisfactory advance in the parameters stochastic estimation theory, respect to velocity change gains.