Outline shape is a mediator of object recognition that is particularly important for living things

Lloyd‐Jones, Toby J.; Luckhurst, Linda

doi:10.3758/bf03194950

Cited by 59 publications

(48 citation statements)

References 73 publications

(69 reference statements)

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“…The presence of a considerable category effect in neurologically normal participants may well have been "hidden" by ceiling effects in the control data of previous studies. Indeed, the presence of a normal category advantage (whether living or nonliving) accords with recent findings in healthy participants (Brousseau & Buchanan, 2004;Coppens & Frisinger, 2005;Filliter, McMullen, & Westwood, 2004;Låg, 2005;Låg, Hveem, Ruud, & Laeng, 2006;Laws, 1999Laws, , 2000Laws & Hunter, 2006;Laws & Neve, 1999;Laws, Leeson, & Gale, 2002b;Lloyd-Jones & Luckhurst, 2002;McKenna & Parry, 1994). With the recent accumulation of studies documenting category effects in healthy participants, it is pertinent to ask whether, and indeed how, extant models of category specificity incorporate the notion of category effects in the healthy brain.…”

Section: Discussionmentioning

confidence: 82%

The naming profile in Alzheimer patients parallels that of elderly controls

Gale

Irvine

Laws

et al. 2009

Journal of Clinical and Experimental Neuropsychology

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Controversy exists as to whether semantic disruption in Alzheimer's disease (AD) systematically impairs the naming of living things. Moreover, little is known about performance across more specific subcategories. We investigated picture naming in 28 AD patients and 24 controls. To deal with nonnormal distributions, we created 1,000 bootstrap hierarchical regressions and determined which variables (the "nuisance" variables familiarity, word frequency, age of acquisition and visual complexity; category; and control naming) best predicted AD patient naming. Nuisance variables combined, control naming, and category uniquely accounted for 39%, 36%, and 3% of patient naming variance, respectively. Finally, analysis of the AD naming profile across the 10 subcategories mirrored that of controls. Taken together, these findings indicate that while AD naming is, of course, quantitatively worse than that of controls, it does not qualitatively differ-that is, it is an exaggerated normal profile.

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Section: Discussionmentioning

confidence: 82%

The naming profile in Alzheimer patients parallels that of elderly controls

Gale

Irvine

Laws

et al. 2009

Journal of Clinical and Experimental Neuropsychology

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“…Research has indeed confirmed that this is the case. For instance, object recognition is equivalent for silhouettes and for shaded images (Hayward, 1998;Hayward, Tarr, & Corderoy, 1999;Lloyd-Jones & Luckhurst, 2002). In an extensive study with silhouettes and contours derived from 260 line drawings of everyday objects , a large number remained almost perfectly identifiable (112 stimuli with >90 % correct identification).…”

Section: Discussionmentioning

confidence: 99%

Processing convexity and concavity along a 2-D contour: figure–ground, structural shape, and attention

Bertamini

Wagemans

2012

Psychon Bull Rev

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Interest in convexity has a long history in vision science. For smooth contours in an image, it is possible to code regions of positive (convex) and negative (concave) curvature, and this provides useful information about solid shape. We review a large body of evidence on the role of this information in perception of shape and in attention. This includes evidence from behavioral, neurophysiological, imaging, and developmental studies. A review is necessary to analyze the evidence on how convexity affects (1) separation between figure and ground, (2) part structure, and (3) attention allocation. Despite some broad agreement on the importance of convexity in these areas, there is a lack of consensus on the interpretation of specific claims-for example, on the contribution of convexity to metric depth and on the automatic directing of attention to convexities or to concavities. The focus is on convexity and concavity along a 2-D contour, not convexity and concavity in 3-D, but the important link between the two is discussed. We conclude that there is good evidence for the role of convexity information in figure-ground organization and in parsing, but other, more specific claims are not (yet) well supported.

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“…Recently Gerlach and collaborators (Gerlach, 2009;Gerlach, Law, & Paulson, 2006; for a different perspective, see Laws & Hunter, 2006) proposed that category-specific effects are driven by the specific processing demands imposed by a given task. Because the shapes of natural objects are more easily configured than the shapes of artifacts, any manipulation that limits how much information may be extracted from the visual impression will make shape configuration harder and would make artifact recognition harder than natural object recognition (see Laws & Neve, 1999;Lloyd-Jones & Luckhurst, 2002). However, if the demand on structural differentiation is high and task conditions are optimal, the shape configuration disadvantage for artifacts may be compensated by more competition for natural objects at the level where visual long-term memory representations compete for selection (see Coppens & Frisinger, 2005;Humphreys, Riddoch, & Quinlan, 1988;Lloyd-Jones & Humphreys, 1997).…”

Section: Discussionmentioning

confidence: 99%

The influence of surface color information and color knowledge information in object recognition

Bramão¹

2011

The American Journal of Psychology

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Outline shape is a mediator of object recognition that is particularly important for living things

Cited by 59 publications

References 73 publications

The naming profile in Alzheimer patients parallels that of elderly controls

The naming profile in Alzheimer patients parallels that of elderly controls

Processing convexity and concavity along a 2-D contour: figure–ground, structural shape, and attention

The influence of surface color information and color knowledge information in object recognition

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