Theorems and algorithms for multiple view geometry with applications to electron tomography

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Brandt, Sami 2012-02-10T09:34:44Z 2012-02-10T09:34:44Z 2002-10-18
dc.identifier.isbn 951-22-6137-5
dc.identifier.issn 1455-0474
dc.description.abstract The thesis considers both theory and algorithms for geometric computer vision. The framework of the work is built around the application of autonomous transmission electron microscope image registration. The theoretical part of the thesis first develops a consistent robust estimator that is evaluated in estimating two view geometry with both affine and projective camera models. The uncertainty of the fundamental matrix is similarly estimated robustly, and the previous observation whether the covariance matrix of the fundamental matrix contains disparity information of the scene is explained and its utilization in matching is discussed. For point tracking purposes, a reliable wavelet-based matching technique and two EM algorithms for the maximum likelihood affine reconstruction under missing data are proposed. The thesis additionally discusses identification of degeneracy as well as affine bundle adjustment. The application part of the thesis considers transmission electron microscope image registration, first with fiducial gold markers and thereafter without markers. Both methods utilize the techniques proposed in the theoretical part of the thesis and, in addition, a graph matching method is proposed for matching gold markers. Conversely, alignment without markers is disposed by tracking interest points of the intensity surface of the images. At the present level of development, the former method is more accurate but the latter is appropriate for situations where fiducial markers cannot be used. Perhaps the most significant result of the thesis is the proposed robust estimator because of consistence proof and its many application areas, which are not limited to the computer vision field. The other algorithms could be found useful in multiple view applications in computer vision that have to deal with uncertainty, matching, tracking, and reconstruction. From the viewpoint of image registration, the thesis further achieved its aims since two accurate image alignment methods are suggested for obtaining the most exact reconstructions in electron tomography. en
dc.format.extent 158
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries Helsinki University of Technology Laboratory of Computational Engineering publications. Report B en
dc.relation.ispartofseries 30 en
dc.subject.other Electrical engineering en
dc.title Theorems and algorithms for multiple view geometry with applications to electron tomography en
dc.type G4 Monografiaväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Electrical and Communications Engineering en
dc.contributor.department Sähkö- ja tietoliikennetekniikan osasto fi
dc.subject.keyword robust regression en
dc.subject.keyword robust estimation en
dc.subject.keyword statistical modeling en
dc.subject.keyword epipolar geometry en
dc.subject.keyword fundamental matrix en
dc.subject.keyword uncertainty en
dc.subject.keyword image matching en
dc.subject.keyword affine reconstruction en
dc.subject.keyword affine triangulation en
dc.subject.keyword degeneracy en
dc.subject.keyword bundle adjustment en
dc.subject.keyword image registration en
dc.subject.keyword image alignment en
dc.subject.keyword computer vision en
dc.subject.keyword electron tomography en
dc.identifier.urn urn:nbn:fi:tkk-001929
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (monografia) fi
dc.type.ontasot Doctoral dissertation (monograph) en
dc.contributor.lab Laboratory of Computational Engineering en
dc.contributor.lab Laskennallisen tekniikan laboratorio fi

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