Literature DB >> 9747502

Surface orientation from texture: ideal observers, generic observers and the information content of texture cues.

D C Knill1.   

Abstract

Perspective views of textured, planar surfaces provide a number of cues about the orientations of the surfaces. These include the information created by perspective scaling of texture elements (scaling), the information created by perspective foreshortening of texels (foreshortening) and, for textures composed of discrete elements, the information created by the effects of both scaling and foreshortening on the relative positions of texels (position). We drive a general form for ideal observers for each of these cues as they appear in images of spatially extended textures, (e.g. those composed of solid 2-D figures). As an application of the formulation, we derive a set of 'generic' observers which we show perform near optimally for images of a broad range of surface textures, without special prior knowledge about the statistics of the textures. Using simulations of ideal observers, we analyze the informational structure of texture cues, including a quantification of lower bounds on reliability for the three different cues, how cue reliability varies with slant angle and how it varies with field of view. We also quantify how strongly the reliability of the foreshortening cue depends on a prior assumption of isotropy. Finally, we extend the analysis to a naturalistic class of textures, showing that the information content of textures particularly suited to psychophysical investigation can be quantified, at least to a first-order approximation. The results provide an important computational foundation for psychophysical work on perceiving surface orientation from texture.

Mesh:

Year:  1998        PMID: 9747502     DOI: 10.1016/s0042-6989(97)00324-6

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  26 in total

1.  Bayesian natural selection and the evolution of perceptual systems.

Authors:  Wilson S Geisler; Randy L Diehl
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-04-29       Impact factor: 6.237

2.  Perceived slant of binocularly viewed large-scale surfaces: a common model from explicit and implicit measures.

Authors:  Zhi Li; Frank H Durgin
Journal:  J Vis       Date:  2010       Impact factor: 2.240

3.  Integration of texture and disparity cues to surface slant in dorsal visual cortex.

Authors:  Aidan P Murphy; Hiroshi Ban; Andrew E Welchman
Journal:  J Neurophysiol       Date:  2013-04-10       Impact factor: 2.714

Review 4.  Probabilistic brains: knowns and unknowns.

Authors:  Alexandre Pouget; Jeffrey M Beck; Wei Ji Ma; Peter E Latham
Journal:  Nat Neurosci       Date:  2013-08-18       Impact factor: 24.884

5.  Fusion of visual cues is not mandatory in children.

Authors:  Marko Nardini; Rachael Bedford; Denis Mareschal
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-13       Impact factor: 11.205

6.  Sounds exaggerate visual shape.

Authors:  Timothy D Sweeny; Emmanuel Guzman-Martinez; Laura Ortega; Marcia Grabowecky; Satoru Suzuki
Journal:  Cognition       Date:  2012-05-25

7.  Adapting internal statistical models for interpreting visual cues to depth.

Authors:  Anna Seydell; David C Knill; Julia Trommershäuser
Journal:  J Vis       Date:  2010-04-05       Impact factor: 2.240

8.  Reliability-dependent contributions of visual orientation cues in parietal cortex.

Authors:  Ari Rosenberg; Dora E Angelaki
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-26       Impact factor: 11.205

9.  Early dynamics of stereoscopic surface slant perception.

Authors:  Baptiste Caziot; Benjamin T Backus; Esther Lin
Journal:  J Vis       Date:  2017-12-01       Impact factor: 2.240

10.  Judging surface slant for placing objects: a role for motion parallax.

Authors:  Stefan Louw; Jeroen B J Smeets; Eli Brenner
Journal:  Exp Brain Res       Date:  2007-07-14       Impact factor: 1.972

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.