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Proceedings Paper

Aligning images with CAD models via quaternion optimization
Author(s): Peter F. Stiller
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Paper Abstract

This paper introduces an algorithm for "mapping" locations in a 2D image of an object onto a 3D CAD model of that object. The goal is to align the image with the CAD model so that the location of various points in the image can be found on the object. We will actually present two methods for achieving this goal. One relies on projective invariants and requires no information about the camera parameters. Unfortunately, its performance is sometimes erratic in the face of particular types of errors. The other method assumes that the user is able to identify a minimum of 4 feature points in the image and the corresponding points on the CAD model. Beyond that, no information is assumed except for knowledge of the size of the camera's CCD and the location of the center of projection in the image. This second algorithm is highly accurate and robust in the face of real-world errors. We call this second algorithm the quaternion optimization algorithm. It positions the camera in CAD space so as to optimally align the matched features. This in turn permits the mapping of other image pixels to the CAD model.plica

Paper Details

Date Published: 8 September 2011
PDF: 11 pages
Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 813609 (8 September 2011); doi: 10.1117/12.894930
Show Author Affiliations
Peter F. Stiller, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 8136:
Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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