Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction

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http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211427

2003 IEEE Computer Society Conference ...

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	Gustavo Olague, Benjam? Hern?ndez, Enrique Dunn, "Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 744, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/CVPR.2003.1211427, author = {Gustavo Olague and Benjam? Hern?ndez and Enrique Dunn}, title = {Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {1}, year = {2003}, issn = {1063-6919}, pages = {744}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211427}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction SN - 1063-6919 SP EP A1 - Gustavo Olague, A1 - Benjam? Hern?ndez, A1 - Enrique Dunn, PY - 2003 KW - null VL - 1 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Gustavo Olague, CICESE

Benjam? Hern?ndez, CICESE

Enrique Dunn, CICESE

Corner measurement is of main concern within the following tasks: camera calibration, image matching, object tracking, recognition and reconstruction. This paper presents a hybrid evolutionary ridge regression approach for the problem of corner modeling. We search model parameters characterizing L-corner models by means of fitting the model to the image data. As the model fitting relies on an initial parameter estimation, we use a global approach to find the global minimum. Experimental results applied to an L-corner using several levels of noise show the advantages and disadvantages of our evolutionary algorithm compared to down-hill simplex and simulated annealing.

Citation:

Gustavo Olague, Benjam? Hern?ndez, Enrique Dunn, "Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction," cvpr, vol. 1, pp.744, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003

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