Kevin Reilly
Review of:
Lin J., Wu Y., Huang, T.
Articulate Hand Motion Capturing
Based on
a Monte Carlo Nelder-Mead Simplex Tracker
Pattern Recognition (Proc. 17th Int'l Conf. on PR (ICPR04),
Vol. 4, Aug 23-26, 2004) 975-978.
Computing Reviews, June 2006, Review No.: 0605-0730.
SUMMARY
See the on-line review and/or wait for hardcopy publication, soon.
This paper concerns itself with tracking hand motion. The main
problem faced is with a large degree of freedom and it is
addressed by seeking reasonable constraints in "a non-parametric
feasible configuration space representation."
A two-stage hierarchical simplex search has difficulties to address:
in image feature extraction, with cost functions and
convexity matters. Enter "multiple hypotheses" Monte Carlo simulation.
Roots for all aspects of the approach and prior work by the authors
are cited, leading to a lot of background information. The amount
may be too much for an 'average' reader while it is our view on
the other hand that more information would be needed to actually
follow up on the work.
The method is demonstrated for ten motions. Could be a good starting
point for the paper, since it makes some preceeding information clearer.