Doing vision things 👀🦩🪼🦘
(she/her)
11/11
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In this case, after heavily altering the pixel values, only the structural similarity predictor remained significant.
7/11
In this case, after heavily altering the pixel values, only the structural similarity predictor remained significant.
7/11
1. Pixel-wise luminance RMS error - how well matched the luminance values are
2. Phase-invariant structural similarity between the patches - how well matched the amplitude spectra are
6/11
1. Pixel-wise luminance RMS error - how well matched the luminance values are
2. Phase-invariant structural similarity between the patches - how well matched the amplitude spectra are
6/11
Here, average participant responses are the datapoints and solid lines show the GLMM predictions.
5/11
Here, average participant responses are the datapoints and solid lines show the GLMM predictions.
5/11
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Note: participants were never told about these conditions and never saw the full photos
3/11
Note: participants were never told about these conditions and never saw the full photos
3/11
One patch (the target) always came from the same broader photograph as the standard, and the other (the foil) came from an entirely different photograph.
2/11
One patch (the target) always came from the same broader photograph as the standard, and the other (the foil) came from an entirely different photograph.
2/11
www.nature.com/articles/s41...
10/10
www.nature.com/articles/s41...
10/10
This project was the problem child of my PhD and has frequently come face to face with abandonment. It's publication truly wouldn't have been possible without their unwavering support.
9/10
This project was the problem child of my PhD and has frequently come face to face with abandonment. It's publication truly wouldn't have been possible without their unwavering support.
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