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126,19 €
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Variation Based Dense 3D Reconstruction
Variation Based Dense 3D Reconstruction
113,57
126,19 €
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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 algo…
126.19
  • Publisher:
  • Year: 2016
  • Pages: 78
  • ISBN-10: 3658126973
  • ISBN-13: 9783658126971
  • Format: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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.

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  • Author: Sven Painer
  • Publisher:
  • Year: 2016
  • Pages: 78
  • ISBN-10: 3658126973
  • ISBN-13: 9783658126971
  • Format: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Language: English English

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.

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