Alinhamento de modelos tridimensionais usando imagens de microscopia

Author(s)

Danillo Roberto Pereira

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Computação
• Defense date: 2013-08-16

Examining board members

Jorge Stolfi; Luiz Henrique de Figueiredo; Marco Antônio Piteri; Anamaria Gomide; Hélio Pedrini

• Advisor: Jorge Stolfi

Abstract

In this thesis 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 an 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 (AU)

• FAPESP's process: 09/13744-2 - Alignment of biological models with microscopic images
• Grantee: Danillo Roberto Pereira
• Support Opportunities: Scholarships in Brazil - Doctorate