We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
This paper addresses the indexing and retrieval of mathematical symbols from digitized documents. The proposed approach exploits Shape Contexts (SC) to describe the shape of mathe...
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
We present an approach to find dense point-to-point correspondences between two deformed surfaces corresponding to different postures of the same nonrigid object in a fully autom...
When computation moves off the desktop, how will it transform the new spaces that it comes to occupy? How will people encounter and understand these spaces, and how will they inter...