[Gzz-commits] manuscripts/Paper paper.tex

[Tuomas J. Lukka]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Tuomas J. Lukka <address@hidden>        03/05/03 15:08:30

Modified files:
        Paper          : paper.tex 

Log message:
        reorg-contrib

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.140&tr2=1.141&r1=text&r2=text

Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.140 manuscripts/Paper/paper.tex:1.141
--- manuscripts/Paper/paper.tex:1.140   Sat May  3 14:31:03 2003
+++ manuscripts/Paper/paper.tex Sat May  3 15:08:30 2003
@@ -588,12 +588,22 @@
 
 %XXX: shorten by one half column 
 
-In this section, we discuss the principles underlying
+In this section, we discuss the general principles 
+we have used to derive
 our algorithm to generate unique
 background textures.
-To be useful, the unique backgrounds should be easily
-distinguishable and recognizable, and should not
-significantly impair the reading of black text on top of it.
+The goals are that the unique backgrounds should be easily
+distinguishable and recognizable, and that they should not
+significantly impair the reading of black text drawn on top.
+
+Our approach is an extension of 
+the type of inversion approach that been used 
+by Ware and Knight\cite{ware95texture} for inverting 
+the earliest stage of the visual system%, 
+%the spatial frequency detectors, 
+in order to place 
+a particular vector or scalar field of data
+in the texture ``channel''.
 
 The ability to distinguish a particular texture from a large set
 depends on the distribution of textures in the set.
@@ -735,13 +745,6 @@
 should be correlated so as to maximize the entropy.
 %For example, pixels on a small area should correlate enough to
 %facilitate perception of contours.
-
-A type of inversion approach has been used 
-by Ware and Knight\cite{ware95texture}, for inverting 
-the earliest stage of the visual system, 
-the spatial frequency detectors, in order to place 
-a particular vector or scalar field of data
-in the texture ``channel''.
 
 % To understand why it is possible to learn to discriminate particular
 % backgrounds easily, consider the task of learning {\em one} background 
texture.