Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments

Sánchez González, Patricia and Gayá Moreno, Francisco Javier and Cano González, Alicia and Gómez Aguilera, Enrique J. (2008). Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments. "Lecture Notes in Computer Science", v. 5104 ; pp. 127-134. ISSN 0302-9743. https://doi.org/10.1007/978-3-540-70521-5_14.

Description

Title: Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
Author/s:
  • Sánchez González, Patricia
  • Gayá Moreno, Francisco Javier
  • Cano González, Alicia
  • Gómez Aguilera, Enrique J.
Item Type: Article
Título de Revista/Publicación: Lecture Notes in Computer Science
Date: July 2008
Volume: 5104
Subjects:
Freetext Keywords: Laparoscopic surgery, video analysis, illumination model, segmentation, 3D reconstruction, augmented reality.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A trend in abdominal surgery is the transition from minimally invasive surgery to surgeries where augmented reality is used. Endoscopic video images are proposed to be employed for extracting useful information to help surgeons performing the operating techniques. This work introduces an illumination model into the design of automatic segmentation algorithms and 3D reconstruction methods. Results obtained from the implementation of our methods to real images are supposed to be an initial step useful for designing new methodologies that will help surgeons operating MIS techniques.

More information

Item ID: 2736
DC Identifier: http://oa.upm.es/2736/
OAI Identifier: oai:oa.upm.es:2736
DOI: 10.1007/978-3-540-70521-5_14
Official URL: http://www.springerlink.com/content/105633
Deposited by: Memoria Investigacion
Deposited on: 29 Mar 2010 09:50
Last Modified: 18 Sep 2015 10:14
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