ABSTRACT
What makes images of water look like water? We conducted four psychophysical experiments to isolate perceptual qualities that make water easy to recognize. Water recognition is facilitated by colour and by three patterns of waves. Low spatial frequencies (LSF) (<4.4 cpd) contribute more to recognition than high spatial frequencies (HSF). Here we describe the experimental methodology and results. Knowing which aspects of appearance identify water can inform perceptually inspired depiction of water, can create visual illusions and can reduce computation in realistic simulations.
- Bar, M., Neta, M., and Linz, H. 2006. Very first impressions. Emotion 6, 269.Google ScholarCross Ref
- De Valois, R., and De Valois, K. 1988. Spatial Vision. Oxford: Oxford University Press.Google Scholar
- Delorme, A., Richard, G., and Fabre-Thorpe, M. 2000. Ultra-rapid categorisation of natural scenes does not rely on colour cues: a study in monkeys and humans. Vision research 40, 2187--2200.Google Scholar
- Field, D. J. 1987. Relations between the statistics of natural images and the response properties of cortical cells. JOSA A 4, 2379--2394.Google ScholarCross Ref
- Hoffman, D. D., and Singh, M. 1997. Salience of visual parts. Cognition 63, 29--78.Google ScholarCross Ref
- Holcombe, A. O. 2009. Seeing slow and seeing fast: two limits on perception. Trends in cognitive sciences 13, 216--221.Google Scholar
- Kryven, M., and Cowan, W. 2013. Modelling perceptually efficient aquatic environments. In Proceedings of the ACM Symposium on Applied Perception, ACM, 131--131. Google ScholarDigital Library
- Liu, C., Sharan, L., Adelson, E. H., and Rosenholtz, R. 2010. Exploring features in a bayesian framework for material recognition. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, IEEE, 239--246.Google Scholar
- Mills, M. I. 1985. Image synthesis: optical identity or pictorial communication? In Graphics Interface, ACM, 303--306. Google ScholarDigital Library
- Perina, A., Cristani, M., and Murino, V. 2010. Learning natural scene categories by selective multi-scale feature extraction. Image and Vision Computing 28, 6, 927--939. Google ScholarDigital Library
- Pope, R. M., and Fry, E. S. 1997. Absorption spectrum (380--700 nm) of pure water. ii. integrating cavity measurements. Applied optics 36, 8710--8723.Google Scholar
- Selst, M. V., and Jolicoeur, P. 1994. A solution to the effect of sample size on outlier elimination. The Quarterly Journal of Experimental Psychology Section A 47, 3, 631--650.Google ScholarCross Ref
- Thorpe, S., Fize, D., Marlot, C., et al. 1996. Speed of processing in the human visual system. Nature 381, 520--522.Google ScholarCross Ref
- Treisman, A. M., and Gelade, G. 1980. A feature-integration theory of attention. Cognitive psychology 12, 1, 97--136.Google Scholar
- Vogel, J., and Schiele, B. 2007. Semantic modeling of natural scenes for content-based image retrieval. International Journal of Computer Vision 72, 2, 133--157. Google ScholarDigital Library
Index Terms
What does water look like?
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