Title: Using intrinsic surface geometry invariant for 3D ear alignment
Authors: Taertulakarn, S.
Tosranon, P.
Pintavirooj, C.
Citation: WSCG 2015: poster papers proceedings: 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 29-33.
Issue Date: 2015
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2015/CSRN-2503.pdf
ISBN: 978-80-86943-67-1
ISSN: 2464-4617
Keywords: 3D ušní registrace;povrchově geometrický invariant;nulové kroucení
Keywords in different language: 3D ear registration;surface geometric invariant;zero torsion
Abstract: In this study we derive novel surface fiducial point’s detection that is computed from the differential surface geometry. The fiducial points are intrinsic, local, and relative invariants, i.e., they are preserved under similarity, affine, and nonlinear transformations that are piecewise affine. In our experiment, the fiducial points, computed from high order surface shape derivatives, are used in a non-iterative geometric-based method for 3D ear registration and alignment. The matching is achieved by establishing correspondences between fiducial points after a sorting based on a set of absolute local affine invariants derived from them. Experimental results showed that our purposed surface feature is suitable for further application to 3D ear identification because its robustness to geometric transformation.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2015: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29562

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