A New Generic Method for Fitting 3D Deformable and Rigid Models - Pereira, Danillo Roberto;Stolfi, Jorge
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In this work we describe a generic algorithm (which we call MSFIT) able to estimate the pose and deformations of 3D models of biological structures (bacteria, cells, etc.) with images obtained by optical and scanning electron microscopes. The algorithm uses a image comparison metric multi-scale, that is outline-sensitive, and a novel nonlinear optimization method. In our tests with models of moderate complexity (up to 12 parameters) the algorithm correctly identifies the model parameters in 60-70% of the cases with real images and 80-90% of the cases with synthetic images.

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Produktbeschreibung
In this work we describe a generic algorithm (which we call MSFIT) able to estimate the pose and deformations of 3D models of biological structures (bacteria, cells, etc.) with images obtained by optical and scanning electron microscopes. The algorithm uses a image comparison metric multi-scale, that is outline-sensitive, and a novel nonlinear optimization method. In our tests with models of moderate complexity (up to 12 parameters) the algorithm correctly identifies the model parameters in 60-70% of the cases with real images and 80-90% of the cases with synthetic images.
Autorenporträt
Danillo R. Pereira received his B.Sc. in Computer Science from the São Paulo State University (UNESP), SP, Brazil in 2006. In 2009, he received his M.Sc. in Computer Science from University of Campinas (UNICAMP), SP, Brazil. In 2013, he received his Ph.D. in Computer Science from the University of Campinas, SP, Brazil.