This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at eac...
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Finding correspondences between feature points is one
of the most relevant problems in the whole set of visual
tasks. In this paper we address the problem of matching
a feature ...
Many applications benefit from surface parameterization, including texture mapping, morphing, remeshing, compression, object recognition, and detail transfer, because processing i...