We present a linear approach to the 3D reconstruction problem from occluding contours using algebraic surfaces. The problem of noise and missing data in the occluding contours extr...
Kongbin Kang, Jean-Philippe Tarel, Richard Fishman...
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...