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Variation Based Dense 3D Reconstruction
Variation Based Dense 3D Reconstruction
Knygos.lt klubas Knygos.lt nariams
83,64 €
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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…
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 78
  • ISBN-10: 3658126973
  • ISBN-13: 9783658126971
  • Formatas: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

Variation Based Dense 3D Reconstruction (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Sven Painer
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 78
  • ISBN-10: 3658126973
  • ISBN-13: 9783658126971
  • Formatas: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

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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