Optimized Camera Ranking Algorithms for Real-time Image Based Rendering of Endoscopic Image Data

Optimized Camera Ranking Algorithms for Real-time Image Based Rendering of Endoscopic Image Data

Published 2008

Abstract

Unstructured Lumigraph Rendering is a well-established and flexible image-based rendering technique to create novel views from a set of acquired images. However, the standard implementation may not provide a pleasing visualization when images are captured under suboptimal conditions. In our scenario, lightfield information is gained using images from endoscopes that observe the operating field during minimal-invasive surgery. Suboptimal lighting conditions and limited mobility of the endoscope lead to visual artefacts in the final visualization of the scene. To resolve these problems, we propose a set of new algorithms for computing the ranking criterions that are used by the Unstructured Lumigraph for visualization. Using these algorithms, we get satisfying results for visualization of endoscopic image data captured under the aforementioned conditions. To achieve real-time visualization, the vital parts of our algorithms have been implemented using OpenGL and GLSL, thus making use of the features and speed of modern graphics hardware.


Source

Proceedings of the Fourth International Symposium on 3D Data Processing, Visualization and Transmission
2008; S. 55-62; 3DPVT 2008 (18.06.-20.06.2008)
Atlanta, Georgia, USA

Authors


Editors

  • Stefan Gumhold
  • Jana Kosecka
  • Oliver Staadt

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