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[Gzz-commits] manuscripts/Paper paper.tex
From: |
Tuomas J. Lukka |
Subject: |
[Gzz-commits] manuscripts/Paper paper.tex |
Date: |
Mon, 31 Mar 2003 05:32:22 -0500 |
CVSROOT: /cvsroot/gzz
Module name: manuscripts
Changes by: Tuomas J. Lukka <address@hidden> 03/03/31 05:32:22
Modified files:
Paper : paper.tex
Log message:
One more move of the texture stuff.
CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.79&tr2=1.80&r1=text&r2=text
Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.79 manuscripts/Paper/paper.tex:1.80
--- manuscripts/Paper/paper.tex:1.79 Mon Mar 31 04:56:51 2003
+++ manuscripts/Paper/paper.tex Mon Mar 31 05:32:22 2003
@@ -264,6 +264,55 @@
%XXX: resolution-dependency?
+Psychophysical studies on texture perception have mostly concentrated
+on pre-attentive
+\emph{visual texture discrimination}\cite{julesz62visualpattern},
+the ability of human observers to effortlessly discriminate
+pairs of certain textures (see Bergen\cite{bergen91theories} for a review).
+Discrimination models can provide insight on the pre-attentive
+processes underlying visual perception.
+
+Julesz\cite{julesz81textons} proposed that texture discrimination could be
+explained by the densities of textons, fundamental texture elements, such as
+elongated blobs, line terminators, and line crossings.
+However, the textons are hard to define formally.
+
+Much simpler filtering-based models can explain texture discrimination
+just as well \cite{bergen88earlyvision}.
+In these models, a bank of linear filters is applied to the texture followed
+by a nonlinearity and then another set of filters to extract features
+(see, e.g., Heeger\cite{heeger95pyramid}).
+There is also physiological evidence of the filtering processes:
+%The first stages
+%of visual perception
+%are fairly well known
+in the visual cortex, there are cells sensitive to different
+frequencies, orientations, and locations in the visual field
+(see, e.g.,~Bruce et al\cite{bruce96visualperception}).
+
+On a higher level, the correlations between local features are combined
+by forming contours and possibly
+other higher-level constructions (see, e.g., \cite{saarinen97integration}).
+These higher levels are not yet thoroughly understood;
+some theories
+(see, e.g., Biederman\cite{biederman87})
+assume certain primitive shapes whose
+structure facilitates recognition.
+
+The simple model we use here assumes
+that at some point,
+the results from the different pre-attentive feature detectors,
+such as different shapes and colors,
+are combined to form an abstract \emph{feature vector}
+(see Fig.~\ref{fig-perceptual}).
+The feature vector is then used to compute
+which concept the particular
+input corresponds to by comparing it to memorized models
+in a simple perceptron-like
+fashion\cite{rosenblatt62neurodynamics,widrow60adaptive}.
+This configuration is commonly used in neural computation.
+
+
% In this article, we apply texture shading to synthesize a large number
% of unique textures for distinguishing virtual objects.
@@ -519,42 +568,6 @@
In order to design a distinguishable distribution of textures,
we have to take into account the properties of the human
visual system.
-
-Psychophysical studies on texture perception have mostly concentrated
-on pre-attentive
-\emph{visual texture discrimination}\cite{julesz62visualpattern},
-the ability of human observers to effortlessly discriminate
-pairs of certain textures (see Bergen\cite{bergen91theories} for a review).
-Discrimination models can provide insight on the pre-attentive
-processes underlying visual perception.
-
-Julesz\cite{julesz81textons} proposed that texture discrimination could be
-explained by the densities of textons, fundamental texture elements, such as
-elongated blobs, line terminators, and line crossings.
-However, the textons are hard to define formally.
-
-Much simpler filtering-based models can explain texture discrimination
-just as well \cite{bergen88earlyvision}.
-In these models, a bank of linear filters is applied to the texture followed
-by a nonlinearity and then another set of filters to extract features
-(see, e.g., Heeger\cite{heeger95pyramid}).
-There is also physiological evidence of the filtering processes:
-%The first stages
-%of visual perception
-%are fairly well known
-in the visual cortex, there are cells sensitive to different
-frequencies, orientations, and locations in the visual field
-(see, e.g.,~Bruce et al\cite{bruce96visualperception}).
-
-On a higher level, the correlations between local features are combined
-by forming contours and possibly
-other higher-level constructions (see, e.g., \cite{saarinen97integration}).
-These higher levels are not yet thoroughly understood;
-some theories
-(see, e.g., Biederman\cite{biederman87})
-assume certain primitive shapes whose
-structure facilitates recognition.
-
% The seed for randomly choosing
% an easily distinguishable unique background from a
% distribution based on
@@ -590,19 +603,6 @@
% The basic assumption of the model is that an image
% is perceived as a set of features
-
-The simple model we use here assumes
-that at some point,
-the results from the different pre-attentive feature detectors,
-such as different shapes and colors,
-are combined to form an abstract \emph{feature vector}
-(see Fig.~\ref{fig-perceptual}).
-The feature vector is then used to compute
-which concept the particular
-input corresponds to by comparing it to memorized models
-in a simple perceptron-like
-fashion\cite{rosenblatt62neurodynamics,widrow60adaptive}.
-This configuration is commonly used in neural computation.
This
rough, qualitative
- [Gzz-commits] manuscripts/Paper paper.tex, (continued)
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/30
- [Gzz-commits] manuscripts/Paper paper.tex, Janne V. Kujala, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex,
Tuomas J. Lukka <=
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31
- [Gzz-commits] manuscripts/Paper paper.tex, Tuomas J. Lukka, 2003/03/31