Fast and robust planar registration by early consensus with applications to document stitching

W
WACV
2002
Sixth IEEE Workshop on Applications of Computer Vision (WACV'02)
Abstract - Fast and robust planar registration by early consensus with applications to document stitching

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	Similar Articles Articles by Maurizio Pilu Articles by Francesco Isgro

Sixth IEEE Workshop on Applications of Computer Vision (WACV'02)

Orlando, Florida

December 03-December 04

ISBN: 0-7695-1858-3

	ASCII Text	x
	Maurizio Pilu, Francesco Isgro, "Fast and robust planar registration by early consensus with applications to document stitching," Applications of Computer Vision, IEEE Workshop on, pp. 245, Sixth IEEE Workshop on Applications of Computer Vision (WACV'02), 2002.

	BibTex	x
	@article{ 10.1109/ACV.2002.1182189, author = {Maurizio Pilu and Francesco Isgro}, title = {Fast and robust planar registration by early consensus with applications to document stitching}, journal ={Applications of Computer Vision, IEEE Workshop on}, volume = {0}, year = {2002}, isbn = {0-7695-1858-3}, pages = {245}, doi = {http://doi.ieeecomputersociety.org/10.1109/ACV.2002.1182189}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Applications of Computer Vision, IEEE Workshop on TI - Fast and robust planar registration by early consensus with applications to document stitching SN - 0-7695-1858-3 SP EP A1 - Maurizio Pilu, A1 - Francesco Isgro, PY - 2002 KW - null VL - 0 JA - Applications of Computer Vision, IEEE Workshop on ER -

Maurizio Pilu, Hewlett-Packard Laboratories

Francesco Isgro, Heriott-Watt University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACV.2002.1182189

This paper presents a fast and extremely robust feature-based method for planar registration of partly overlapping images that uses a two-stage robust fitting approach comprising a fast estimation of a transformation hypothesis (that we show is highly likely to be correct) followed by a confirmation and refinement stage. The method is particularly suited for automatic stitching of oversize documents scanned in two or more parts. We show simulations, also supported by practical experiments, that prove both the robustness and computational efficiency of the approach.

Citation:

Maurizio Pilu, Francesco Isgro, "Fast and robust planar registration by early consensus with applications to document stitching," wacv, pp.245, Sixth IEEE Workshop on Applications of Computer Vision (WACV'02), 2002

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