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*Third, we want to move towards devising new non-rigid registration and spatio-temporal segmentation techniques. We have to put entirely new perspective on the traditional registration pipeline, trying to understand where and how the mobility can be encapsulated. The dynamic features along with shape-based geometric features will be used to guide the full correspondence as well as the transformation for the optimal match.<br /><br />
 
*Third, we want to move towards devising new non-rigid registration and spatio-temporal segmentation techniques. We have to put entirely new perspective on the traditional registration pipeline, trying to understand where and how the mobility can be encapsulated. The dynamic features along with shape-based geometric features will be used to guide the full correspondence as well as the transformation for the optimal match.<br /><br />
 
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Project SHARED seeks to investigate novel shape analysis methods that exploit large redundancy of information from dynamic or movement data. Specific objectives are: <br /><br />
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Project SHARED seeks to investigate novel shape analysis methods that exploit large redundancy of information from dynamic or movement data. Specific objectives are: <br />
 
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Revision as of 16:29, 21 December 2012

Project SHARED - Shape Analysis and Registration of People Using Dynamic Data

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Project SHARED is a French National project funded by ANR(L'Agence Nationale de la Recherche) in the framework of "Chaires d'Excellence" program.

  • Period: 15 Dec 2010~14 Dec 2014
  • Budget: 220 000 Euros


Project SHARED seeks to investigate novel shape analysis methods that exploit large redundancy of information from dynamic or movement data. Specific objectives are:

  1. Design shape acquisition and analysis method where kinematic properties can be fully learned;
  2. Develop new registration techniques that uses the kinematic properties obtained above so as to put similar deformation behaviours in correspondence;
  3. Develop statistical model that incorporates the dynamic shape variation and shape identity variation; Revise the registration technique with the statistical shape atlas, towards a more robust and efficient application.