Interface Fiche Technique : Langage de programmation : Visual Basic 5.0 Support : Une version de Windows en 32 bits (Windows 95, OSR1, OSR2 ou Windows 98 ou Windows NT) Auteurs : Matthieu Poulain et Jean-Marc Mangin Date : 10/03/1
A general Technique for the recovery of signi cant
image features is presented. The Technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate
This paper presents an interactive Technique that
produces static hairstyles by generating individual hair strands
of the desired shape and color, subject to the presence of gravity
and collisions. A variety of hairstyles can be generated by
adjusting the wisp parameters, while the deformation is solved
efficiently, accounting for the effects of gravity and collisions.
Wisps are generated employing statistical approaches. As for
hair deformation, we propose a method which is based on
physical simulation concepts but is simplified to efficiently
solve the static shape of hair. On top of the statistical wisp
model and the deformation solver, a constraint-based styler
is proposed to model artificial features that oppose the natural
flow of hair under gravity and hair elasticity, such as a hairpin.
Our Technique spans a wider range of human hairstyles than
previously proposed methods, and the styles generated by this
Technique are fairly realistic.
Feature selection is a preprocessing Technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
OFDM Signal generation and decoding using 16-QAM .64QAM as the modulation Technique. This type of OFDM is particularly useful for WiMAX and other Wireless and Multimedia Standards. Just run the Model and with different SNRs in the AWGN Channel Block observe the performance of the OFDM.
The preferred Technique places the new YAMON in the opposite Flash
bank (the Db1200 boards have two Flash banks), and then changes switch
S11 to swap the Flash banks in the memory map to allow the other Flash
bank to become the boot bank. This Technique is the safest and
preferred method since it preserves the existing YAMON
