ACE 134In this work we propose a novel approach to real-time texture
tracking and registration, based on natural feature extraction from
planar objects and template matching, Our method is oriented to
planar objects with arbitrary textures but with rectangular
topologies and well contrasted contours and does not require any
external fiducial marker, either for the set-up or the tracking
phases. Once the initial pose condition is obtained, previous
planar object information is used to compute subsequent planar
object’s pose, so that the time coherence of the input video stream
is exploited. Our system is completely automated and produces
real-time efficient tracking which can be applied to entertainment
AR applications and other. The paper discusses also the novelty of
the approach, in relation to other existing texture tracking
algorithms.ADETTI/ISCT