(Enter summary)
Abstract: Model-based recognition and motion tracking depends upon the ability to
solve for projection and model parameters that will best fit a 3-D model to
matching 2-D image features. This paper extends current methods of parameter
solving to handle objects with arbitrary curved surfaces and with any
number of internal parameters representing articulations, variable dimensions,
or surface deformations. Numerical stabilization methods are developed that
take account of inherent inaccuracies in the... (Update)
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BibTeX entry: (Update)
David. G. Lowe. Fitting parameterized three-dimensional models to images. IEEE Trans. Pattern Anal. and Machine Intell., 13(5):441--450, May 1991. http://citeseer.ist.psu.edu/lowe91fitting.html More
@article{ lowe91fitting,
author = "David G. Lowe",
title = "Fitting Parameterized Three-Dimensional Models to Images",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
volume = "PAMI-13",
number = "5",
pages = "441--450",
year = "1991",
url = "citeseer.ist.psu.edu/lowe91fitting.html" }
Citations (may not include all citations):
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