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revision 1.97 by tjl, Mon Mar 31 14:53:32 2003 UTC revision 1.98 by tjl, Mon Mar 31 14:59:46 2003 UTC
# Line 43  NO NEED FOR PERFECT RECALL - JUST A CUE Line 43  NO NEED FOR PERFECT RECALL - JUST A CUE
43    
44  % WHY HW ACCEL NEEDED - PIXELLATION - NO SAVING!  % WHY HW ACCEL NEEDED - PIXELLATION - NO SAVING!
45    
 NO SEMANTIC CORRELATIONS!!!!!!!  
   
46  TJL  TJL
47    
48  We present a perceptually designed hardware-accelerated  We present a perceptually designed hardware-accelerated
# Line 584  number of different features detected ca Line 582  number of different features detected ca
582  objects, ... XXX SO!!! JVK  objects, ... XXX SO!!! JVK
583    
584  \begin{figure}  \begin{figure}
585    \centering
586  %\fbox{\vbox{\vskip 3in}}  %\fbox{\vbox{\vskip 3in}}
587  \ifpics  \ifpics
588  \def\visscal{.6}  \def\visscal{.65}
589  a)\\\includegraphics[scale=\visscal]{visper.1}\\\\\\  %a)\includegraphics[scale=\visscal]{visper.1}\\
590  b)\\\includegraphics[scale=\visscal]{visper.2}  %b)%
591    \includegraphics[scale=\visscal]{visper.2}
592  \fi  \fi
593  \caption{  \caption{
594  \label{fig-perceptual}  \label{fig-perceptual}
595  a) The qualitative model of visual perception used to create  The qualitative model of visual perception used to create
596  the algorithm.  the algorithm.
597  The visual input is transformed into a feature vector,  The visual input is transformed into a feature vector,
598  which contains numbers (activation levels) corresponding to  which contains numbers (activation levels) corresponding to
599  e.g.~colors, edges, curves and small patterns.  e.g.~colors, edges, curves and small patterns.
600  The feature vector is matched against the memorized textures  The feature vector is matched against the memorized textures.
601  with a simple model.  In order to generate recognizable textures, random seed
602  The simplicity of the pre-attentive feature matcher  values should produce
603  is the key feature of the model and is used in the text  a distribution of feature vectors
604  to formulate principles  with maximum entropy.
605  about recognizability.  %The simplicity of the pre-attentive feature vector and matcher
606  b) In order to generate recognizable textures,  %is the key feature of the model and is used in the text
607  Key is also that producing a distribution of feature vectors  %to formulate principles
608  with maximum entropy is...  %about recognizability.
609  }  }
610  \end{figure}  \end{figure}
611    

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