[Gzz-commits] manuscripts ./gzigzag.bib Paper/paper.tex

[Janne V. Kujala]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Janne V. Kujala <address@hidden>        03/03/11 08:14:52

Modified files:
        .              : gzigzag.bib 
        Paper          : paper.tex 

Log message:
        texture space

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/gzigzag.bib.diff?tr1=1.60&tr2=1.61&r1=text&r2=text
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.17&tr2=1.18&r1=text&r2=text

Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.17 manuscripts/Paper/paper.tex:1.18
--- manuscripts/Paper/paper.tex:1.17    Sat Mar  8 10:13:33 2003
+++ manuscripts/Paper/paper.tex Tue Mar 11 08:14:52 2003
@@ -248,22 +248,25 @@
 \subsection{Texture perception}
 
 Psychological studies on texture perception have mostly concentrated
-on texture discrimination, the ability of human observers to discriminate
-pairs of textures.
-% XXX: segregation vs. discrimination
-
-First experiments on computer-generated, unnatural textures 
-in the 60s \cite{julesz62visualpattern} led to 
-proposals of discrimination models based on 
-$N$th order statistics of pixels and connectivity 
-structures of certain micropatterns.
+on \emph{texture discrimination}, the ability of human observers to
+discriminate pairs of textures.  
+The term is often used interchangably with \emph{texture segregation},
+the more specific task of finding the border between areas of
+different textures (different phases of local characteristics at the
+border can segregate otherwise indiscriminable textures).
+
+First experiments on computer-generated, unnatural textures in the 60s
+\cite{julesz62visualpattern} led to proposals of discrimination models
+based on $N$th-order statistics (the joint distributions of all
+$N$-tuples of pixels for given $N$) and connectivity structures of
+certain micropatterns.
 
 Statistical modeling of textures as samples from a probability 
 distribution on a random field as already seen in \cite{julesz62visualpattern}
 in a simple form.
 The most popualar computational approach is Markov random fields
-\cite{cross83markov, geman84stochastic}, where a texture 
-is characterized by its local statistics.
+\cite{cross83markov, geman84stochastic}, where the value of each pixel
+depends only on the values of its neighborhood (local characteristics).
 XXX: resolution-dependency?
 
 Attempt to explain texture perception by the densities of textons
@@ -279,6 +282,19 @@
 Filtering based approach, e.g., \cite{heeger95pyramid}.
 Essentially a bank of linear filters is applied to the texture followed
 by a nonlinearity and then another set of filters.
+
+Mapping texture appearance to an Euclidian texture space
+(see \cite{gurnsey01texturespace} and the references therein):
+in the reported experiments, three dimensions have been sufficient
+to explain most of the variation in the similarity judgements for
+artificial textures. 
+However, the texture stimuli have been somewhat simple 
+(no color, lack of frequency-band interaction, etc.).
+For some natural texture sets, three dimensions have also been
+sufficient, but often the semantic connections cause the
+similarity to be context-dependant, making it hard to assess the 
+dimensionality.
+% XXX: this is something we should experiment with our textures
 
 XXX: reviews
 
Index: manuscripts/gzigzag.bib
diff -u manuscripts/gzigzag.bib:1.60 manuscripts/gzigzag.bib:1.61
--- manuscripts/gzigzag.bib:1.60        Sat Mar  8 05:12:13 2003
+++ manuscripts/gzigzag.bib     Tue Mar 11 08:14:52 2003
@@ -2572,6 +2572,10 @@
     url = 
"http://acad88.sahs.uth.tmc.edu/research/publications/iccs2001spatial.pdf";
 }
 
address@hidden ------------------
address@hidden Texture perception
address@hidden ------------------
+
 @article{ bergen88earlyvision,
     author = "James R. Bergen and Edward H. Adelson",
     title = "Early Vision and Texture Perception",
@@ -2601,6 +2605,15 @@
     number = "2",
     pages = "84--92", 
     year = "1962",
+}
+
address@hidden gurnsey01texturespace,
+    author = "Rick Gurnsey and David J. Fleet",
+    title = "Texture Space",
+    journal = "Vision Research",
+    volume = "41",
+    pages = "745--757",
+    year = "2001",
 }
 
 @comment ------------------