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|a 9783658126988
|9 978-3-658-12698-8
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|a 10.1007/978-3-658-12698-8
|2 doi
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|a Painer, Sven.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Variation Based Dense 3D Reconstruction
|h [electronic resource] :
|b Application on Monocular Mini-Laparoscopic Sequences /
|c by Sven Painer.
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|a 1st ed. 2016.
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|a Wiesbaden :
|b Springer Fachmedien Wiesbaden :
|b Imprint: Springer Vieweg,
|c 2016.
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|a XV, 78 p. 34 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a BestMasters,
|x 2625-3615
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|a Photometric Invariants -- Legendre-Fenchel Transformation -- Structure from Motion -- Variational Approach.
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|a 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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|a Image processing
|x Digital techniques.
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|a Computer vision.
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|a Engineering mathematics.
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|a Engineering
|x Data processing.
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|a Software engineering.
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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|a Mathematical and Computational Engineering Applications.
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|a Software Engineering.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783658126971
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|i Printed edition:
|z 9783658126995
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|a BestMasters,
|x 2625-3615
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|u https://doi.uam.elogim.com/10.1007/978-3-658-12698-8
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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