Literature DB >> 17705683

Visual perception and the statistical properties of natural scenes.

Wilson S Geisler1.   

Abstract

The environments in which we live and the tasks we must perform to survive and reproduce have shaped the design of our perceptual systems through evolution and experience. Therefore, direct measurement of the statistical regularities in natural environments (scenes) has great potential value for advancing our understanding of visual perception. This review begins with a general discussion of the natural scene statistics approach, of the different kinds of statistics that can be measured, and of some existing measurement techniques. This is followed by a summary of the natural scene statistics measured over the past 20 years. Finally, there is a summary of the hypotheses, models, and experiments that have emerged from the analysis of natural scene statistics.

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Year:  2008        PMID: 17705683     DOI: 10.1146/annurev.psych.58.110405.085632

Source DB:  PubMed          Journal:  Annu Rev Psychol        ISSN: 0066-4308            Impact factor:   24.137


  180 in total

1.  The empirical characteristics of human pattern vision defy theoretically-driven expectations.

Authors:  Peter Neri
Journal:  PLoS Comput Biol       Date:  2018-12-04       Impact factor: 4.475

Review 2.  Contributions of ideal observer theory to vision research.

Authors:  Wilson S Geisler
Journal:  Vision Res       Date:  2010-11-09       Impact factor: 1.886

3.  Deconstructing continuous flash suppression.

Authors:  Eunice Yang; Randolph Blake
Journal:  J Vis       Date:  2012-03-08       Impact factor: 2.240

4.  Local image statistics: maximum-entropy constructions and perceptual salience.

Authors:  Jonathan D Victor; Mary M Conte
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-07-01       Impact factor: 2.129

5.  Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation.

Authors:  Sheila Nirenberg; Illya Bomash; Jonathan W Pillow; Jonathan D Victor
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

6.  Learning-dependent plasticity with and without training in the human brain.

Authors:  Jiaxiang Zhang; Zoe Kourtzi
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-13       Impact factor: 11.205

7.  Flexible mechanisms underlie the evaluation of visual confidence.

Authors:  Simon Barthelmé; Pascal Mamassian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-12       Impact factor: 11.205

8.  Event-related brain potentials and the efficiency of visual search for vertically and horizontally oriented stimuli.

Authors:  Bruno Kopp; Jasmin Kizilirmak; Carolin Liebscher; Julia Runge; Karl Wessel
Journal:  Cogn Affect Behav Neurosci       Date:  2010-12       Impact factor: 3.282

9.  Local statistics in natural scenes predict the saliency of synthetic textures.

Authors:  Gasper Tkacik; Jason S Prentice; Jonathan D Victor; Vijay Balasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-05       Impact factor: 11.205

10.  Sensory optimization by stochastic tuning.

Authors:  Peter Jurica; Sergei Gepshtein; Ivan Tyukin; Cees van Leeuwen
Journal:  Psychol Rev       Date:  2013-10       Impact factor: 8.934

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