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Iterative Algorithm for Optimal Fiducials Under Weak Perspective Projection
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DOI：10.1002/ima.20175.png)
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Abstract
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In previous work, we designed space fiducials with the aim of making camera pose determination as noise-insensitive as possible. These fiducials turned out to be sets of points that formed concentric regular polyhedra. Here, we apply an idea of Dementhon and Davis and test and analyze an iterative linear algorithm in conjunction with our optimal fiducials to increase the accuracy of the computed camera pose. We also analyze under what circumstances this iterative algorithm is guaranteed to converge to the correct solution. Comprehensive computer simulations illustrate the behavior of the algorithm and the degree of improvement in pose determination in case of convergence. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 27-36, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20175
Keywords:
iterative algorithm
fiducials
weak perspective
computer vision
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