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Published Articles >> Table of Contents >> Abstract
12th International Conference on Image Analysis and Processing (ICIAP'03)
p. 152
FNS and HEIV: Relating Two Vision Parameter Estimation Frameworks
Wojciech Chojnacki, University of Adelaide
Michael J. Brooks, University of Adelaide
Anton van den Hengel, University of Adelaide
Darren Gawley, University of Adelaide
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2003.1234042
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| Abstract |
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Problems requiring accurate determination of parameters from image-based quantities arise often in computer vision. Two recent, independently developed frameworks for estimating such parameters are the FNS and HEIV schemes. Here it is shown that FNS and a core version of HEIV are essentially equivalent, solving a common underlying equation via different means. The analysis is driven by the search for a non-degenerate form of a certain generalised eigen-value problem, and effectively leads to a new derivation of the relevant case of the HEIV algorithm. This work may be seen as an extension of previous efforts to rationalise and inter-relate a spectrum of estimators, including the renormalisation method of Kanatani and the normalised eight-point method of Hartley.
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Citation:
Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley,
"FNS and HEIV: Relating Two Vision Parameter Estimation Frameworks,"
iciap,
p. 152,
12th International Conference on Image Analysis and Processing (ICIAP'03),
2003
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