<p>Here we show example textures for each model tested in Experiment 2: RND, ICA, L2, LP, IPS, GPS, and MEC16. Both <b>A</b> and <b>B</b> are scrambled versions of the corresponding model stimuli shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002873#pcbi-1002873-g004" target="_blank">Figure 4</a>. On any single trial the observer viewed only one texture based on natural image samples and one texture based on samples from a single model. <b>A.</b> Global scrambles, where the pixels of each texture were scrambled as a final post-processing step. <b>B.</b> Sample scrambles, where the pixels of each image patch were scrambled individually to preserve variations in luminance histograms across samples.</p
It is known that humans can discriminate visual textures on the basis of differences in statistics h...
AbstractModels of texture segregation frequently feature two processing mechanisms: simple, linear c...
Our perceptual experience of the visual world relies on successful segmentation of distinct regions ...
<p>In Experiment 1, we tested six models in one session (RND, ICA, L2, LP, IPS, GPS) and the four mi...
<p>The contrast fluctuations of each model sample set have been artificially matched to the contrast...
<p>(a) The four stimulus conditions used in the experiment. (b) Example of scrambled stimuli: A glob...
We investigate the ability of humans to perceive changes in the appearance of images of surface text...
Reconstructed results on synthetic texture image; (a) Original image; (b) Noisy image; (c) De-noised...
<p>(A) Degraded images were created using monochromatic binarization of color images (see <a href="h...
AbstractTexture boundary segmentation is typically thought to reflect a comparison of differences in...
AbstractJulesz [IRE Trans. Inf. Theory IT-8 (1962) 84] introduced the concept of statistically defin...
<p>An object with inconsistent highlights was made by combining the diffuse pattern with the rotated...
We are developing new techniques for treating input texture images as probability density estimators...
<p>Top row: Random phase patterns with different slopes (as indicated) of the radially averaged Four...
<p># Stimuli for "A parametric texture model based on deep convolutional features closely matches te...
It is known that humans can discriminate visual textures on the basis of differences in statistics h...
AbstractModels of texture segregation frequently feature two processing mechanisms: simple, linear c...
Our perceptual experience of the visual world relies on successful segmentation of distinct regions ...
<p>In Experiment 1, we tested six models in one session (RND, ICA, L2, LP, IPS, GPS) and the four mi...
<p>The contrast fluctuations of each model sample set have been artificially matched to the contrast...
<p>(a) The four stimulus conditions used in the experiment. (b) Example of scrambled stimuli: A glob...
We investigate the ability of humans to perceive changes in the appearance of images of surface text...
Reconstructed results on synthetic texture image; (a) Original image; (b) Noisy image; (c) De-noised...
<p>(A) Degraded images were created using monochromatic binarization of color images (see <a href="h...
AbstractTexture boundary segmentation is typically thought to reflect a comparison of differences in...
AbstractJulesz [IRE Trans. Inf. Theory IT-8 (1962) 84] introduced the concept of statistically defin...
<p>An object with inconsistent highlights was made by combining the diffuse pattern with the rotated...
We are developing new techniques for treating input texture images as probability density estimators...
<p>Top row: Random phase patterns with different slopes (as indicated) of the radially averaged Four...
<p># Stimuli for "A parametric texture model based on deep convolutional features closely matches te...
It is known that humans can discriminate visual textures on the basis of differences in statistics h...
AbstractModels of texture segregation frequently feature two processing mechanisms: simple, linear c...
Our perceptual experience of the visual world relies on successful segmentation of distinct regions ...