3D Reconstruction and Virtual Forming in Rotationally Symmetric Space

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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2

Cambridge UK

August 23-August 26

ISBN: 0-7695-2128-2

	ASCII Text	x
	Masaya Taki, Jun Sato, "3D Reconstruction and Virtual Forming in Rotationally Symmetric Space," Pattern Recognition, International Conference on, vol. 2, pp. 261-264, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1334155, author = {Masaya Taki and Jun Sato}, title = {3D Reconstruction and Virtual Forming in Rotationally Symmetric Space}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2004}, issn = {1051-4651}, pages = {261-264}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334155}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - 3D Reconstruction and Virtual Forming in Rotationally Symmetric Space SN - 1051-4651 SP261 EP264 A1 - Masaya Taki, A1 - Jun Sato, PY - 2004 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Masaya Taki, Nagoya Institute of Technology, Japan

Jun Sato, Nagoya Institute of Technology, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334155

For reconstructing 3D objects and for generating arbitrary views of the scene, accurate calibration of multiple cameras is very important. In this paper, we introduce rotationally symmetric space, and show that in rotationally symmetric space, cameras can be calibrated and 3D points can be reconstructed just from a single basis line reliably. The proposed method is applied for deforming virtual clay in rotationally symmetric space and for generating augmented reality images of virtual pottery.

Citation:

Masaya Taki, Jun Sato, "3D Reconstruction and Virtual Forming in Rotationally Symmetric Space," icpr, vol. 2, pp.261-264, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004

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