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A Three-Feature Model to Predict Colour Change Blindness

Department of Mechanical and Electrical Engineering, Massey University, 4410 Palmerston North, New Zealand
Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
Author to whom correspondence should be addressed.
Vision 2019, 3(4), 61;
Received: 30 June 2019 / Revised: 22 October 2019 / Accepted: 6 November 2019 / Published: 10 November 2019
Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty. View Full-Text
Keywords: change blindness; attention; saliency; colour; memory; masking change blindness; attention; saliency; colour; memory; masking
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Le Moan, S.; Pedersen, M. A Three-Feature Model to Predict Colour Change Blindness. Vision 2019, 3, 61.

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