(a) Predicted probability of being an occlusion edge by the AO (blue curve). Image patches are sorted by their probability. Actual category is indicated by a (+). (b) Occlusion probability predicted by the AO for each occlusion edge (green curve) and each shadow edge (magenta curve), sorted by occlusion probability. (c) Patches of each actual category which are most likely classified as human observers as the predicted category for QT-2.</p
We report the results of an experimental study in which human subjects are asked to demarcate the co...
AbstractThe human brain manages to correctly interpret almost every visual image it receives from th...
Magenta symbols indicate image patches that are shadows, green symbols indicate occlusions. On the m...
Green curves/symbols indicate occlusions, Magenta curves/symbols indicate shadows. (a) Distributions...
<p><b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gr...
Correctly interpreting a natural image requires dealing properly with the effects of occlusion, and ...
<p><b>a,</b> Probability distribution of the 512 possible 3×3 1-bit pixel patterns (grey histogram)....
(a) Schematic outline of a single trial for the psychophysical experiments. For each experiment, hum...
This paper compares the ability of human observers to detect target image curves with that of an ide...
<b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gray ...
Each image patch is within 8 ranks of the indicated percentile (out of N = 2000 total image patches ...
This paper compares the ability of human observers to detect target image curves with that of an ide...
To understand the computations of our visual system, it is important to understand also the natural ...
On the x-axis, the shape and texture of each object are given as shape-texture. Filled black bars di...
How well do classification images characterize human observers ’ strategies in perceptual tasks? We ...
We report the results of an experimental study in which human subjects are asked to demarcate the co...
AbstractThe human brain manages to correctly interpret almost every visual image it receives from th...
Magenta symbols indicate image patches that are shadows, green symbols indicate occlusions. On the m...
Green curves/symbols indicate occlusions, Magenta curves/symbols indicate shadows. (a) Distributions...
<p><b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gr...
Correctly interpreting a natural image requires dealing properly with the effects of occlusion, and ...
<p><b>a,</b> Probability distribution of the 512 possible 3×3 1-bit pixel patterns (grey histogram)....
(a) Schematic outline of a single trial for the psychophysical experiments. For each experiment, hum...
This paper compares the ability of human observers to detect target image curves with that of an ide...
<b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gray ...
Each image patch is within 8 ranks of the indicated percentile (out of N = 2000 total image patches ...
This paper compares the ability of human observers to detect target image curves with that of an ide...
To understand the computations of our visual system, it is important to understand also the natural ...
On the x-axis, the shape and texture of each object are given as shape-texture. Filled black bars di...
How well do classification images characterize human observers ’ strategies in perceptual tasks? We ...
We report the results of an experimental study in which human subjects are asked to demarcate the co...
AbstractThe human brain manages to correctly interpret almost every visual image it receives from th...
Magenta symbols indicate image patches that are shadows, green symbols indicate occlusions. On the m...