We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
We present an approach for illumination and affineinvariant point matching using ordinal features. Ordinal measures for matching only consider the order between pixels and not the...
Datatype-generic programming (DGP) is the next step beyond abstracting over types using parametric polymorphism, which is often called "genericity" in object-oriented la...
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...