Contour interpolation by vector-field combination

Fantoni, Carlo; Gerbino, Walter

doi:10.1167/3.4.4

Cited by 73 publications

(84 citation statements)

References 54 publications

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“…This expectation would arise from studies based on the contour support ratio or the proportion of image-specified contours (Fantoni & Gerbino, 2003). In fact, "The ratio principle (Shipley & Kellman, 1992) states that the good continuation absolute strength depends on the ratio between lengths of the image-specified portion and the total side (including the amodal portion predicted by good continuation alone).…”

Section: Resultsmentioning

confidence: 99%

Amodal Completion of Boundaries in Coloured Surfaces

Dadam¹,

Albertazzi

Canal

et al. 2012

PSYCHOLOGIA -An International Journal of Psychological Sciences

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We present an experimental study on the influence of colour and spatial position in the assessment of boundaries in occluded surfaces. Subjects were asked to mark the place that they judged to be the location of a boundary between two differently coloured parts of a vertical rectangle partially occluded by a horizontal rectangle. Besides the use of eight pairs of colours, the position of the occluder was randomly changed resulting in 13 possible sizes of the coloured parts. The same colours were set for half of the time on the lower part of the vertical rectangle, and for half on the upper part, so as to verify whether changing the colour location would give rise to measurable effects. Results show that amodal completion is influenced not only by spatial cues but also by colour.

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Section: Resultsmentioning

confidence: 99%

Amodal Completion of Boundaries in Coloured Surfaces

Dadam¹,

Albertazzi

Canal

et al. 2012

PSYCHOLOGIA -An International Journal of Psychological Sciences

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“…Contour integration studies largely examine what factors promote grouping of separate (not connected) oriented elements ( Figure 3C) into contours which are detectable in a field of otherwise randomly oriented elements. Collinearity, co-circularity, smoothness, and a few other features play prominent roles in models of good continuation effects on contour integration (e.g., Fantoni & Gerbino, 2003;Field, Hayes, & Hess, 1993;Geisler, Perry, Super, & Gallogly, 2001;Hess, May, & Dumoulin, this volume;Pizlo, Salach-Golyska, & Rosenfeld, 1997;Yen & Finkel, 1998).…”

Section: Good Continuation Relatability Closure and Parallelismmentioning

confidence: 99%

Traditional and New Principles of Perceptual Grouping

Brooks

2014

Oxford Handbooks Online

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Perceptual grouping refers to the process of determining which regions and parts of the visual scene belong together as parts of higher order perceptual units such as objects or patterns. In the early 20 th century, Gestalt psychologists identified a set of classic grouping principles which specified how some image features lead to grouping between elements given that all other factors were held constant. Modern vision scientists have expanded this list to cover a wide range of image features but have also expanded the importance of learning and other non-image factors. Unlike early Gestalt accounts which were based largely on visual demonstrations, modern theories are often explicitly quantitative and involve detailed models of how various image features modulate grouping. Work has also been done to understand the rules by which different grouping principles integrate to form a final percept. This chapter gives an overview of the classic principles, modern developments in understanding them, and new principles and the evidence for them. There is also discussion of some of the larger theoretical issues about grouping such as at what stage of visual processing it occurs and what types of neural mechanisms may implement grouping principles.

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“…In addition, contour extrapolation is also a critical component of the general problem of shape completion--since a visually interpolated contour must both smoothly extend each inducing contour, as well as smoothly connect the two individual extrapolants (Ullman, 1976;Fantoni & Gerbino, 2003). Therefore a full understanding of visual shape completion requires an understanding of how the visual system extrapolates each curved inducing contour.…”

Section: Contour Extrapolationmentioning

confidence: 99%

Visual Representation of Contour and Shape

Singh

2014

Oxford Handbooks Online

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Contours provide an essential source of information about shape and, along contours, points with the greatest magnitude of curvature tend to be most informative. This concentration of information is closely tied to internal generative models of contours employed by the visual system. In going from open to closed contours, the sign of curvature becomes perceptually significant, with negative-curvature (concave) sections of a contour being more informative, and playing an important role in part segmentation. The visual system represents complex shapes by segmenting them into simpler parts ("simpler" because they have less negative curvature). Points of negative minima of curvature provide an important cue for part segmentation; however being entirely local and contour-based features, they cannot fully predict part segmentation. The visual system employs not only a contour-based representation of shape, but also a region-based one, making explicit properties such as axis curvature, local width of the shape, and locally-parallel and locally-symmetric structure. A region-based representation of shape based on Bayesian estimation of the shape skeleton provides a successful account of part segmentation. Moreover, psychophysical results from a variety of domains provide evidence for the representation of region-based geometry by human vision, based on the shape skeleton. Even at the level of so-called "illusory contours," nonlocal region-based geometry exerts a strong influence. We conclude that, as far as the visual representation of shape is concerned, contour geometry cannot ultimately be studied in isolation, but must be considered conjointly with region-based geometry.

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Contour interpolation by vector-field combination

Cited by 73 publications

References 54 publications

Amodal Completion of Boundaries in Coloured Surfaces

Amodal Completion of Boundaries in Coloured Surfaces

Traditional and New Principles of Perceptual Grouping

Visual Representation of Contour and Shape

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