In addition, we describe an illustrative example of the use of this dataset for tracking participants based on a head tracking model in an effort to minimize errors due to occlusion.
Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-up.
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.
3D human body shape matching has large potential on many real world applications, especially with the recent advances in the 3D range sensing technology.
Recently, sparsity-based algorithms are proposed for super-resolution spectrum estimation.