Robust Pose Estimation using the SwissRanger SR-3000 Camera



AbstractIn this paper a robust method is presented to classify and
estimate an objects pose from a real time range image and a low dimensional
model. The model is made from a range image training set which is
reduced dimensionally by a nonlinear manifold learning method named
Local Linear Embedding (LLE). New range images are then projected
to this model giving their pose.
TypeConference paper [With referee]
ConferenceScandinavian Conference on Image Analysis 2007
Editors
Year2007    Vol. 4522    pp. 968--975
PublisherSpringer
SeriesLNCS
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics