Alan M. M c Ivor and Robert J. Valkenburg. Calibrating a Structured Light System. Report 362, Industrial Research Limited, February 1995. Home/Search Document Details and Download
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Self Recalibration of a Structured Light Vision System from a.. - Chen And Li (2002) (Correct)
....that a vision system be carefully calibrated. Most existing methods for calibrating structured light systems are mainly focused on static and manual calibration. During the calibration and 3D reconstruction, the vision sensor is usually placed at fixed location and a calibration pattern device ([1, 2, 3, 4]) usually a target printed with circular or square features, is placed at several different positions in front of the sensor. For example, McIvor et al. 2] presented a detailed description on static calibration of a structured light system. Sansoni et al. 1] formulated the structured light ....
....the calibration and 3D reconstruction, the vision sensor is usually placed at fixed location and a calibration pattern device ( 1, 2, 3, 4] usually a target printed with circular or square features, is placed at several different positions in front of the sensor. For example, McIvor et al. [2] presented a detailed description on static calibration of a structured light system. Sansoni et al. 1] formulated the structured light technique by means of Gray Code Phase Shift (GCPS) and analyzed the error variability for evaluating measurement performance. In these traditional methods, the ....
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A. M. McIvor and R. J. Valkenburg "Calibrating a Structured Light System", Image and Vision Computing, New Zealand, Lincoln, Aug. 1995, pp. 167-172.
Calibrating a Structured Light System - McIvor, Valkenburg (1995) (2 citations) Self-citation (Ivor Valkenburg) (Correct)
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Alan M. M c Ivor and Robert J. Valkenburg. Calibrating a Structured Light System. Report 362, Industrial Research Limited, February 1995.
Nonlinear Calibration of a Laser Stripe Profiler - McIvor (2001) (3 citations) Self-citation (Ivor) (Correct)
....there are N ducial marks. Thus, the estimate for the parameters l 1 is the solution to min l 1 kA 1 l 1 k 2 (33) subject to a constraint, say kl 1 k = 1, to avoid the trivial solution l 1 = 0. The estimate of l 1 is then the singular vector associated with the smallest singular value of A 1 [15]. 3.2.2 Laser Stripe Parameters Let A 2 be the N 5 matrix formed by stacking (31) for each of the available data points one above the other. Thus, the estimate for the parameters l 2 is the solution to min l 2 kA 2 l 2 k 2 (34) 14 subject to a constraint to avoid the trivial solution l 2 ....
Alan M. M c Ivor and Robert J. Valkenburg. Calibrating a structured light system. In Image & Vision Computing New Zealand, pages 167-172, Lincoln, Canterbury, August 1995. Industrial Research Limited.
Laser Stripe Profiler Calibration Using Nonlinear Models - McIvor Self-citation (Ivor) (Correct)
....as a nonlinear regression problem which can be solved using standard tools. The numerical solution technique requires a good starting condition. This is provided by ignoring the nonlinear part of the model and solving the resulting linear system of equations using standard calibration techniques [5]. Figure 2: Image constructed from intensity recorded along the laser stripe in each scan. A 3 planar surface target is shown. 3.1 Nonlinear Estimation The planar surfaces of the calibration target are specified in a world coordinate frame associated with the target as pw (k) T xw q w (k) ....
Alan M. M c Ivor and Robert J. Valkenburg. Calibrating a structured light system. In Image & Vision Computing New Zealand, pages 167--172, Lincoln, Canterbury, August 1995. Industrial Research Limited.
High-speed active 3D acquisition based on a pattern-specific.. - Koninckx, Van Gool (2002) (1 citation) (Correct)
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A.M. McIvor and R.J.Valkenburg, Calibrating a Structured Light System, Ind. Research Lim. Report 362, 1995
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