65 |
to motivate |
to motivate |
66 |
general principles for designing recognizably unique textures |
general principles for designing recognizably unique textures |
67 |
for use as backgrounds for data. |
for use as backgrounds for data. |
68 |
To be reconizable, |
To be recongizable, |
69 |
the texture should produce a random feature vector in the brain |
the texture should produce a random feature vector in the brain |
70 |
{\em after} visual feature extraction. |
{\em after} visual feature extraction. |
71 |
|
|
301 |
placed (translated) $N$-gon for all different $N$-gons). |
placed (translated) $N$-gon for all different $N$-gons). |
302 |
However, the order of similarity in the statistics did not |
However, the order of similarity in the statistics did not |
303 |
consistently explain discrimination performance, and certain |
consistently explain discrimination performance, and certain |
304 |
distinctive local features were conjectured. |
pre-attentive local features were conjectured. |
305 |
|
|
306 |
Julesz\cite{julesz81textons} proposed that texture discrimination could be |
Julesz\cite{julesz81textons} proposed that texture discrimination could be |
307 |
explained by the densities of textons, fundamental texture elements, such as |
explained by the densities of textons, fundamental texture elements, such as |
311 |
Much simpler filtering-based models can explain texture discrimination |
Much simpler filtering-based models can explain texture discrimination |
312 |
just as well \cite{bergen88earlyvision}. |
just as well \cite{bergen88earlyvision}. |
313 |
In these models, a bank of linear filters is applied to the texture followed |
In these models, a bank of linear filters is applied to the texture followed |
314 |
by a nonlinearity and then another set of filters to extract densities |
by a nonlinearity and then another set of filters to extract features |
315 |
of features (see, e.g., \cite{heeger95pyramid} for an application). |
(see, e.g., \cite{heeger95pyramid} for an application). |
316 |
%In \cite{heeger95pyramid}, new textures with appearance similar |
%In \cite{heeger95pyramid}, new textures with appearance similar |
317 |
%to a given texture are created by matching certain histograms |
%to a given texture are created by matching certain histograms |
318 |
%of filter responses. |
%of filter responses. |
319 |
|
|
320 |
|
XXX: higher-level pre-attetive processes? |
321 |
|
|
322 |
%XXX: texture perception reviews |
%XXX: texture perception reviews |
323 |
|
|
324 |
There have been studies on |
There have been studies on |
572 |
|
|
573 |
The simple model we use here assumes |
The simple model we use here assumes |
574 |
that at some point, |
that at some point, |
575 |
the results from the different feature detectors, |
the results from the different pre-attentive feature detectors, |
576 |
such as local and global shapes and colors, |
such as local and global shapes and colors, |
577 |
are combined to form an abstract \emph{feature vector} |
are combined to form an abstract \emph{feature vector} |
578 |
(see Fig.~\ref{fig-perceptual}). |
(see Fig.~\ref{fig-perceptual}). |