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Template-Based Conformal Shape-from-Motion-and-Shading for Laparoscopy

  • Abed Malti
  • Adrien Bartoli
  • Toby Collins
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7330)

Abstract

Shape-from-Shading (SfS) is one of the fundamental techniques to recover depth from a single view. Such a method has shown encouraging but limited results in laparoscopic surgery due to the complex reflectance properties of the organ tissues. On the other hand, Template-Based Deformable-Shape-from-Motion (DSfM) has been recently used to recover a coarse 3D shape in laparoscopy.

We propose to combine both geometric and photometric cues to robustly reconstruct 3D human organs. Our method is dubbed Deformable-Shape-from-Motion-and-Shading (DSfMS). It tackles the limits of classical SfS and DSfM methods: First the photometric template is reconstructed using rigid SfM (Shape-from-Motion) while the surgeon is exploring – but not deforming – the peritoneal environment. Second a rough 3D deformed shape is computed using a recent method for elastic surface from a single laparoscopic image. Third a fine 3D deformed shape is recovered using shading and specularities.

The proposed approach has been validated on both synthetic data and in-vivo laparoscopic videos of a uterus. Experimental results illustrate its effectiveness compared to SfS and DSfM.

Keywords

Augmented Reality Point Correspondence Attraction Point Photometric Stereo Reprojection Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Abed Malti
    • 1
  • Adrien Bartoli
    • 1
  • Toby Collins
    • 1
  1. 1.ALCoV-ISIT, UMR 6284 CNRS/Université d’AuvergneClermont-FerrandFrance

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