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...
A review of the facts about human stereo vision leads to the conclusion that the human stereo processing mechanism is very flexible in the presence of other depth cues. Stereopsis ...
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...