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ORCID: https://orcid.org/0000-0001-9871-0884, Gayá Moreno, Francisco Javier, Cano González, Alicia and Gómez Aguilera, Enrique Javier
ORCID: https://orcid.org/0000-0001-6998-1407
(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.
| Título: | Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Lecture Notes in Computer Science |
| Fecha: | Julio 2008 |
| ISSN: | 0302-9743 |
| Volumen: | 5104 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Laparoscopic surgery, video analysis, illumination model, segmentation, 3D reconstruction, augmented reality. |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Tecnología Fotónica y Bioingeniería |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 2736 |
|---|---|
| Identificador DC: | https://oa.upm.es/2736/ |
| Identificador OAI: | oai:oa.upm.es:2736 |
| Identificador DOI: | 10.1007/978-3-540-70521-5_14 |
| URL Oficial: | http://www.springerlink.com/content/105633 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 29 Mar 2010 09:50 |
| Ultima Modificación: | 21 May 2024 14:23 |
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