Exterior orientation by direct depth reconstruction

Chien-Ping Lu; Eric Mjolsness

doi:10.1117/12.189090

13 October 1994 Exterior orientation by direct depth reconstruction

Chien-Ping Lu, Eric Mjolsness

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189090
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

Classical nonlinear methods for finding the relative orientation between a camera and an object suffer from considerable computation time and requirement for a good initial estimate, while linear methods, which do not need an initial estimate, are sensitive to noise and outliers. In this paper, we study the performances of different solution methods in the presence of noise and outliers. We also present a new iterative algorithm which is efficient, globally convergent, and relatively robust to noise and outliers.

Citation Download Citation

Chien-Ping Lu and Eric Mjolsness "Exterior orientation by direct depth reconstruction", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); https://doi.org/10.1117/12.189090

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