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[Gzz-commits] journals/plans SA_2003.rst


From: Janne V. Kujala
Subject: [Gzz-commits] journals/plans SA_2003.rst
Date: Thu, 15 May 2003 06:42:45 -0400

CVSROOT:        /cvsroot/fenfire
Module name:    journals
Changes by:     Janne V. Kujala <address@hidden>        03/05/15 06:42:45

Modified files:
        plans          : SA_2003.rst 

Log message:
        merge texture filtering section

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/fenfire/journals/plans/SA_2003.rst.diff?tr1=1.151&tr2=1.152&r1=text&r2=text

Patches:
Index: journals/plans/SA_2003.rst
diff -u journals/plans/SA_2003.rst:1.151 journals/plans/SA_2003.rst:1.152
--- journals/plans/SA_2003.rst:1.151    Thu May 15 06:37:34 2003
+++ journals/plans/SA_2003.rst  Thu May 15 06:42:44 2003
@@ -523,36 +523,20 @@
 This flexibility allows us to overcome the restrictions in the
 texture filtering.
 
----
-However, designing such filters in an *ad hoc* fashion is
-extremely cumbersome and error-prone; a more
-formal approach for evaluating the results of
-different filtering methods is needed.
+However, designing such filters in an *ad hoc* fashion is 
+extremely cumbersome and error-prone. What is needed is a suitable
+mathematical framework for modeling the
+*perceptual* qualities of text or general black-and-white 2D shapes
+rendered onto a square pixel grid.
 
-The goals in this area are the development of a mathematical framework
-for modeling the *perceptual* qualities of rendered text
-as well as experimental evaluation of the models.
- 
+The goals in this area are the development and experimental evaluation 
+of the mathematical framework.
 As one theoretical approach for the readability modeling
 we plan to use the correlation function of the rendered text.
 There have not been much research on this approach in
 graphics context.
 However, we hope to be able to apply our earlier experience
 on Bayesian methods and similar models.
----
-
-However, designing such filters in an *ad hoc* fashion is 
-extremely cumbersome and error-prone. What is needed is a suitable
-mathematical framework for modeling the
-*perceptual* qualities of text or general black-and-white 2D shapes
-rendered onto a square pixel grid.
-
-The goals in this area are the development of the mathematical framework
-for qualitatively 
-XXX
-As one theoretical approach for modeling the readability 
-we can use the correlation function of the rendered text.
-
 
 Unique background textures
 ''''''''''''''''''''''''''




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