[Gzz-commits] manuscripts/AGPU paper.txt

[Tuomas J. Lukka]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Tuomas J. Lukka <address@hidden>        03/04/14 15:02:19

Modified files:
        AGPU           : paper.txt 

Log message:
        edit

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/AGPU/paper.txt.diff?tr1=1.13&tr2=1.14&r1=text&r2=text

Patches:
Index: manuscripts/AGPU/paper.txt
diff -u manuscripts/AGPU/paper.txt:1.13 manuscripts/AGPU/paper.txt:1.14
--- manuscripts/AGPU/paper.txt:1.13     Mon Apr 14 08:51:49 2003
+++ manuscripts/AGPU/paper.txt  Mon Apr 14 15:02:19 2003
@@ -1,26 +1,26 @@
-In [Kujala, Lukka, "Rendering recognizably unique textures",
-to be published in Information Visualization'03 conference,
-preprint available on request], we introduced the use
-of procedurally generated unique background textures
-as a visualization of document identity.
-In this work, we are not using the GPU to try to obtain a specific
-appearance or effect.  Instead, we use the GPU to produce an infinite
-amount of different, novel textures, with the goal that they
-should be recognizable by users. 
-In our approach, each document has
-a different, easily distinguishable background texture.  
-The user can
-thus identify an item at a glance, even if only a *fragment* of the
-item is shown, without reading the title (which the fragment may not
-even show) [Fig.1].
-The user should be able to learn the textures of the most
-often visited documents, as per Zipf's law.
-An initial experiment has shown that the generated textures are indeed
-recognizable.
+Rendering recognizably unique textures on GPUs using shading
+============================================================
+
+In this work, we apply the GPU to an unusual task: we are not attempting
+to obtain a specific appearance or effect.  Instead, we use the GPU
+to produce an infinite amount of different, novel, randomly generated
+textures, with the goal that they should be recognizable by users.
+
+In [Kujala & Lukka: "Rendering recognizably unique textures", to
+be published in Information Visualization'03 conference, preprint
+available on request], we introduced the use of procedurally generated
+unique background textures as a visualization of document identity.
+In our approach, each document has a different, easily distinguishable
+background texture.  The user can thus identify an item at a glance,
+even if only a *fragment* of the item is shown, without reading the
+title (which the fragment may not even show) [Fig.1].  The user should
+be able to learn the textures of the most often visited documents,
+as per Zipf's law.  An initial experiment has shown that the generated
+textures are indeed recognizable.
 
 The perceptually designed algorithm runs, after the random seeding and
 setup stages, entirely on the fragment pipeline of the GPU, in order to
-allow complicated mappings such as fisheye distortion between paper and
+allow complicated mappings such as fisheye distortion between the paper and
 screen coordinates.
 
 Plain OpenGL 1.3 does not by itself provide enough flexibility in the