Difference between revisions of "About"
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large redundancy of information from dynamic or movement data. | large redundancy of information from dynamic or movement data. | ||
<br />The main interest of the proposed approach is | <br />The main interest of the proposed approach is | ||
| − | * to acquire and preprocess the subjects’ movement data so as to characterize anatomical or functional landmarks | + | * to acquire and preprocess the subjects’ movement data so as to characterize anatomical or functional landmarks |
* to devise a registration technique that makes use of this rich set of information to guarantee reliable correspondence. Appreciably, with the recent advances in imaging technologies we now have growing accessibility to capture the shape and motion of human skin from optical motion capture systems, and of organs from medical imaging devices. | * to devise a registration technique that makes use of this rich set of information to guarantee reliable correspondence. Appreciably, with the recent advances in imaging technologies we now have growing accessibility to capture the shape and motion of human skin from optical motion capture systems, and of organs from medical imaging devices. | ||
* to investigate statistical analysis of deforming shapes, tightly coupling the shape identity and shape change due to movement. A statistical atlas spanning over the variations of shape identity and shape deformation will be constructed, which will be used to revise the registration module with great stability and robustness. | * to investigate statistical analysis of deforming shapes, tightly coupling the shape identity and shape change due to movement. A statistical atlas spanning over the variations of shape identity and shape deformation will be constructed, which will be used to revise the registration module with great stability and robustness. | ||
Revision as of 14:40, 21 December 2012
Project SHARED - Shape Analysis and Registration of People Using Dynamic Data
Project SHARED seeks to investigate novel shape analysis method that exploits
large redundancy of information from dynamic or movement data.
The main interest of the proposed approach is
- to acquire and preprocess the subjects’ movement data so as to characterize anatomical or functional landmarks
- to devise a registration technique that makes use of this rich set of information to guarantee reliable correspondence. Appreciably, with the recent advances in imaging technologies we now have growing accessibility to capture the shape and motion of human skin from optical motion capture systems, and of organs from medical imaging devices.
- to investigate statistical analysis of deforming shapes, tightly coupling the shape identity and shape change due to movement. A statistical atlas spanning over the variations of shape identity and shape deformation will be constructed, which will be used to revise the registration module with great stability and robustness.