Some informational aspects of visual perception.

Attneave, Fred

doi:10.1037/h0054663

Cited by 2,542 publications

(1,664 citation statements)

References 14 publications

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“…Silhouette features are believed to be the first index into the human memory of shapes [Hoffman and Singh 1997], and, as a direct result of Shannon's information theory, it was known as early as the 1950's that edges and contours contain a wealth of information about a 3D shape [Attneave 1954;Koenderink and Doorn 1979]. a 4 : Silhouette length.…”

Section: Attributes Of Viewsmentioning

confidence: 99%

Perceptual models of viewpoint preference

et al. 2011

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The question of what are good views of a 3D object has been addressed by numerous researchers in perception, computer vision, and computer graphics. This has led to a large variety of measures for the goodness of views as well as some special-case viewpoint selection algorithms. In this article, we leverage the results of a large user study to optimize the parameters of a general model for viewpoint goodness, such that the fitted model can predict people's preferred views for a broad range of objects. Our model is represented as a combination of attributes known to be important for view selection, such as projected model area and silhouette length. Moreover, this framework can easily incorporate new attributes in the future, based on the data from our existing study. We demonstrate our combined goodness measure in a number of applications, such as automatically selecting a good set of representative views, optimizing camera orbits to pass through good views and avoid bad views, and trackball controls that gently guide the viewer towards better views.

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Section: Attributes Of Viewsmentioning

confidence: 99%

Perceptual models of viewpoint preference

et al. 2011

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“…This viewpoint forges potential connections between compression and patternfinding as computational projects. Note that the shortest code for data also provides its least redundant representation; elimination of redundancy has been viewed as central to pattern recognition both in humans [4,5] and machines [6].…”

Section: Quantifying Simplicitymentioning

confidence: 99%

Simplicity: a unifying principle in cognitive science?

Chater

Vitányi

2003

Trends in Cognitive Sciences

349

282

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“…Capitalizing on regularities across stimuli has a host of perceptual benefits: uncertainty is reduced, neural coding becomes more efficient, sensitivity to stimulus associations is heightened, and interactions with the environment become informed through learning. While these principles of "efficient coding" (Attneave, 1954;Barlow, 1961;Simoncelli, 2003) have proven productive for sensory and computational neuroscience, perceptual evidence has been limited. Stilp and colleagues (2010) provided the first direct behavioral evidence for efficient auditory perceptual learning.…”

Section: Introductionmentioning

confidence: 99%

Non-isomorphism in efficient coding of complex sound properties

Stilp

Kluender

2011

The Journal of the Acoustical Society of America

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To the extent that sensorineural systems are efficient, stimulus redundancy should be captured in ways that optimize information transmission. Consistent with this principle, neural representations of sounds have been proposed to become “non-isomorphic,” increasingly abstract and decreasingly resembling the original (redundant) input. Here, non-isomorphism is tested in perceptual learning using AXB discrimination of novel sounds with two highly correlated complex acoustic properties and a randomly varying third dimension. Discrimination of sounds obeying the correlation became superior to that of sounds violating it despite widely varying physical acoustic properties, suggesting non-isomorphic representation of stimulus redundancy.

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Some informational aspects of visual perception.

Cited by 2,542 publications

References 14 publications

Perceptual models of viewpoint preference

Perceptual models of viewpoint preference

Simplicity: a unifying principle in cognitive science?

Non-isomorphism in efficient coding of complex sound properties

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