Literature DB >> 8728981

Image blur as a pictorial depth cue.

G Mather1.   

Abstract

A range of cues are already known to mediate depth perception in pictures and have been exploited by artists in drawings and paintings. Modern images are commonly generated by photographic or video equipment, and these images contain a depth cue that cannot be found in artistic depictions of natural scenes: different image regions are often blurred by different amounts, because of depth of focus limitations. Demonstrations presented here show that this selective image blur also acts as a pictorial depth cue, even when other pictorial cues are removed. Experimental data indicate that the degree of blur at borders between blurred and sharp image regions is used by the visual system to establish the depth ordering of different regions. Selective image blur is thus a potentially useful addition to computer-generated and cartoon images to enhance the impression of depth they convey. It may well also contribute to depth perception in natural retinal images, because the depth of focus of the human eye is limited.

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Year:  1996        PMID: 8728981     DOI: 10.1098/rspb.1996.0027

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  8 in total

1.  Focus cues affect perceived depth.

Authors:  Simon J Watt; Kurt Akeley; Marc O Ernst; Martin S Banks
Journal:  J Vis       Date:  2005-12-15       Impact factor: 2.240

2.  Feature-based attention resolves depth ambiguity.

Authors:  D Yu; B Levinthal; S L Franconeri
Journal:  Psychon Bull Rev       Date:  2017-06

3.  Using Blur to Affect Perceived Distance and Size.

Authors:  Robert T Held; Emily A Cooper; James F O'Brien; Martin S Banks
Journal:  ACM Trans Graph       Date:  2010-03-01       Impact factor: 5.414

4.  Blur and disparity are complementary cues to depth.

Authors:  Robert T Held; Emily A Cooper; Martin S Banks
Journal:  Curr Biol       Date:  2012-02-09       Impact factor: 10.834

5.  The natural statistics of blur.

Authors:  William W Sprague; Emily A Cooper; Sylvain Reissier; Baladitya Yellapragada; Martin S Banks
Journal:  J Vis       Date:  2016-08-01       Impact factor: 2.240

6.  A Spiking Neural Network Model of Depth from Defocus for Event-based Neuromorphic Vision.

Authors:  Germain Haessig; Xavier Berthelon; Sio-Hoi Ieng; Ryad Benosman
Journal:  Sci Rep       Date:  2019-03-06       Impact factor: 4.379

7.  The perception and misperception of optical defocus, shading, and shape.

Authors:  Scott Wj Mooney; Phillip J Marlow; Barton L Anderson
Journal:  Elife       Date:  2019-07-12       Impact factor: 8.140

8.  The (In)Effectiveness of Simulated Blur for Depth Perception in Naturalistic Images.

Authors:  Guido Maiello; Manuela Chessa; Fabio Solari; Peter J Bex
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

  8 in total

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