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Author | Mohammad Rouhani; Angel Sappa | ||||
Title | Non-Rigid Shape Registration: A Single Linear Least Squares Framework | Type | Conference Article | ||
Year | 2012 | Publication | 12th European Conference on Computer Vision | Abbreviated Journal | |
Volume | 7578 | Issue | Pages | 264-277 | |
Keywords | |||||
Abstract | This paper proposes a non-rigid registration formulation capturing both global and local deformations in a single framework. This formulation is based on a quadratic estimation of the registration distance together with a quadratic regularization term. Hence, the optimal transformation parameters are easily obtained by solving a liner system of equations, which guarantee a fast convergence. Experimental results with challenging 2D and 3D shapes are presented to show the validity of the proposed framework. Furthermore, comparisons with the most relevant approaches are provided. | ||||
Address | Florencia | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-33785-7 | Medium | |
Area | Expedition | Conference | ECCV | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ RoS2012a | Serial | 2158 | ||
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