Literature DB >> 11412888

What defines a view?

M J Tarr1, D J Kriegman.   

Abstract

At a given instant we see only visible surfaces, not an object's complete 3D appearance. Thus, objects may be represented as discrete 'views' showing only those features visible from a limited range of viewpoints. We address how to define a view using Koenderink's (Koenderink & Van Doorn, Biol. Cybernet. 32 (1979) 211.) geometric method for enumerating complete sets of stable views as aspect graphs. Using objects with known aspect graphs, five experiments examined whether the perception of orientation is sensitive to the qualitative features that define aspect graphs. Highest sensitivity to viewpoint changes was observed at locations where the theory predicts qualitative transitions, although some transitions did not affect performance. Hypotheses about why humans ignore some transitions offer insights into mechanisms for object representation.

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Mesh:

Year:  2001        PMID: 11412888     DOI: 10.1016/s0042-6989(01)00024-4

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


  7 in total

1.  Recognizing novel three-dimensional objects by summing signals from parts and views.

Authors:  David H Foster; Stuart J Gilson
Journal:  Proc Biol Sci       Date:  2002-09-22       Impact factor: 5.349

2.  Identification of partially presented meaningless patterns: effect of completeness and distinctiveness.

Authors:  Alvydas Soliūnas; Ona Gurciniene; Aidas Alaburda; Osvaldas Ruksenas
Journal:  Cogn Process       Date:  2006-08-04

3.  Determining the orientation of depth-rotated familiar objects.

Authors:  Ryosuke Niimi; Kazuhiko Yokosawa
Journal:  Psychon Bull Rev       Date:  2008-02

4.  Limits of dynamic object perception in pigeons: dynamic stimulus presentation does not enhance perception and discrimination of complex shape.

Authors:  Michaela Loidolt; Ulrike Aust; Michael Steurer; Nikolaus F Troje; Ludwig Huber
Journal:  Learn Behav       Date:  2006-02       Impact factor: 1.986

5.  Multiplicative mixing of object identity and image attributes in single inferior temporal neurons.

Authors:  N Apurva Ratan Murty; S P Arun
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-20       Impact factor: 11.205

Review 6.  The many facets of shape.

Authors:  James T Todd; Alexander A Petrov
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

7.  Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties.

Authors:  Sarah M Parker; Thomas Serre
Journal:  Front Comput Neurosci       Date:  2015-10-07       Impact factor: 2.380

  7 in total

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