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Volume 2010January 2010Special issue on fast and robust methods for multiple-view vision
Publisher:
  • Hindawi Limited
  • Adam House, 3rd Floor, 1 Fitzroy Square
  • London
  • United Kingdom
ISSN:1687-5176
EISSN:1687-5281
Reflects downloads up to 01 Mar 2025Bibliometrics
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Real-time multiview recognition of human gestures by distributed image processing
Article No.: 1, Pages 1–13https://doi.org/10.1155/2010/517861

Since a gesture involves a dynamic and complex motion, multiview observation and recognition are desirable. For the better representation of gestures, one needs to know, in the first place, from which views a gesture should be observed. Furthermore, it ...

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High-definition 3D stereoscopic microscope display system for biomedical applications
Article No.: 2, Pages 1–8https://doi.org/10.1155/2010/724309

Biomedical research has been performed by using advanced information techniques, and micro-high-quality stereo images have been used by researchers and/or doctors for various aims in biomedical research and surgery. To visualize the stereo images, many ...

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Acquiring multiview C-arm images to assist cardiac ablation procedures
Article No.: 3, Pages 1–10https://doi.org/10.1155/2010/871409

CARTO XPis an electroanatomical cardiac mapping system that provides 3D color-coded maps of the electrical activity of the heart; however it is expensive and it can only use a single costly magnetic catheter for each patient intervention. Our approach ...

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Handling occlusions for robust augmented reality systems
Article No.: 4, Pages 1–12https://doi.org/10.1155/2010/146123

In Augmented Reality applications, the human perception is enhanced with computer-generated graphics. These graphics must be exactly registered to real objects in the scene and this requires an effective Augmented Reality system to track the user's ...

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An iterative surface evolution algorithm for multiview stereo
Article No.: 6, Pages 1–10https://doi.org/10.1155/2010/274269

We propose a new iterative surface evolution algorithm for multiview stereo. Starting from an embedding space such as the visual hull, we will first conduct robust 3D depth estimation (represented as 3D points) based on image correlation. A fast ...

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