Variation Based Dense 3D Reconstruction | Application on Monocular Mini-Laparoscopic Sequences

Sven Painer

ISBN 10: 3658126973 / ISBN 13: 9783658126971

Published by Springer Fachmedien Wiesbaden, 2016

About this Item

Variation Based Dense 3D Reconstruction | Application on Monocular Mini-Laparoscopic Sequences | Sven Painer | Taschenbuch | xv | Englisch | 2016 | Springer Fachmedien Wiesbaden | EAN 9783658126971 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 104034298

Bibliographic Details

• Title: Variation Based Dense 3D Reconstruction | Application on Monocular Mini-Laparoscopic Sequences
• Publisher: Springer Fachmedien Wiesbaden
• Publication Date: 2016
• Language: English
• ISBN 10: 3658126973
• ISBN 13: 9783658126971
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 6D millimeters 210 millimeters width by 148 millimeters height by 6 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About 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.