Variation Based Dense 3D Reconstruction : Application on Monocular Mini-Laparoscopic Sequences / by Sven Painer
By: Painer, Sven.
Contributor(s): SpringerLink (Online service)
Material type:
E-bookSeries: BestMastersPublisher: Wiesbaden : Springer Fachmedien Wiesbaden Vieweg, 2016Edition: 1st ed.Description: 1 recurso en línea (XV, 78 p.) : 34 ilustraciones.ISBN: 9783658126988.Subject: Ingeniería del software
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | R857.T47 P356 2016 EB (Browse shelf(Opens below)) | .i11598669 | Acceso electrónico | eBOOK .i11598669 |
Photometric Invariants -- Legendre-Fenchel Transformation -- Structure from Motion -- Variational Approach.
In his master thesis, Sven Painer develops, implements, and evaluates a method to reconstruct the liver surface from monocular mini-laparoscopic sequences. The principal focus of his research is to create a basis for helping clinicians to write reports with quantitative descriptions of the liver surface. A Structure from Motion approach is performed to do a sparse reconstruction of the liver surface and subsequently this information is used in a variation based dense 3D reconstruction. The algorithms are formulated in a causal way, enabling the implementation to be run in real-time on an adequate hardware platform. The results show a significant performance increase and pave the way to give clinicians a feedback during video capturing to improve the quality of the reconstruction in the near future. Contents Photometric Invariants Legendre-Fenchel Transformation Structure from Motion# Variational Approach Target Groups Lecturers and Students of Computer Sciences, especially interested in 3D Reconstruction Clinicians The Author Sven Painer is working as a PhD student at the Vision Systems Institute at Hamburg University of Technology. He continues the work on 3D reconstruction that he started during his master thesis.
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