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Variation Based Dense 3D Reconstruction Sven Painer

Variation Based Dense 3D Reconstruction von Sven Painer

Variation Based Dense 3D Reconstruction Sven Painer


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Zusammenfassung

In his master thesis,Sven Painer develops, implements, and evaluates a method to reconstruct theliver surface from monocular mini-laparoscopic sequences. A Structure from Motion approachis performed to do a sparse reconstruction of the liver surface and subsequentlythis information is used in a variation based dense 3D reconstruction.

Variation Based Dense 3D Reconstruction Zusammenfassung

Variation Based Dense 3D Reconstruction: Application on Monocular Mini-Laparoscopic Sequences Sven Painer

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.

Über Sven Painer

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.

Inhaltsverzeichnis

Photometric Invariants.- Legendre-Fenchel Transformation.- Structure from Motion.- Variational Approach.

Zusätzliche Informationen

GOR013504288
9783658126971
3658126973
Variation Based Dense 3D Reconstruction: Application on Monocular Mini-Laparoscopic Sequences Sven Painer
Gebraucht - Sehr Gut
Broschiert
Springer Fachmedien Wiesbaden
2016-03-14
78
N/A
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