About

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

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

First, to achieve the objective we need to acquire large enough collection of dynamic, time-varying data sets.Appreciably, with the recent advances in imaging technologies we now have growing accessibility to capture shape and motion of people with high frequency. For example, we track the location of selected skin surfaces (markers) using a number of synchronized cameras. After post-processing of marker trajectories we obtain sequences of human body motions in the form of animated meshes.

Second, 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.

The main interests of the project are:

• 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