Metrical information load of lines and angles in line patterns

Hanssen, Anneke; Leeuwenberg, Emanuel; Helm, Peter A. van der

doi:10.1007/bf00419606

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Relevant to this question is that, although SIT measures code complexity in terms of structural information only, the metrical information in a code is not supposed to be discarded. It is merely supposed to be ignored in, for instance, perceptual classification tasks but may well be important in other tasks (see, e.g., Hanssen, Leeuwenberg, & van der Helm, 1993). Hence, perception is supposed to work with one multiple-purpose code, various aspects of which can be attended to selectively, depending on the task at hand (cf.…”

Section: Structural Complexitiesmentioning

confidence: 99%

Simplicity versus likelihood in visual perception: From surprisals to precisals.

Helm¹

2000

Psychological Bulletin

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The likelihood principle states that the visual system prefers the most likely interpretation of a stimulus, whereas the simplicity principle states that it prefers the most simple interpretation. This study investigates how close these seemingly very different principles are by combining findings from classical, algorithmic, and structural information theory. It is argued that, in visual perception, the two principles are perhaps very different with respect to the viewpoint-independent aspects of perception but probably very close with respect to the viewpoint-dependent aspects which, moreover, seem decisive in everyday perception. This implies that either principle may have guided the evolution of visual systems and that the simplicity paradigm may provide perception models with the necessary quantitative specifications of the often plausible but also intuitive ideas provided by the likelihood paradigm.

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Section: Structural Complexitiesmentioning

confidence: 99%

Simplicity versus likelihood in visual perception: From surprisals to precisals.

Helm¹

2000

Psychological Bulletin

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“…The higher the "load", the more complex the character is to be perceived. It involves measuring repeating patterns and weights being assigned to angles of junctions (Hanssen et al, 1993). While SIT can easily work for simple geometrical shapes, extending them for complex shapes such as characters is very hard and possibly not very practical.…”

Section: Visual Complexitymentioning

confidence: 99%

Quantifying Scripts: Defining Metrics of Characters for Quantitative and Descriptive Analysis

Rajan

2016

Digital Scholarship Humanities

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Analysis of scripts plays an important role in paleography and in quantitative linguistics. Especially in the field of digital paleography quantitative features are much needed to differentiate glyphs. We describe an elaborate set of metrics that quantify qualitative information contained in characters and hence indirectly also quantify the scribal features. We broadly divide the metrics into several categories and describe each individual metric with its underlying qualitative significance. The metrics are largely derived from the related area of gesture design and recognition. We also propose several novel metrics. The proposed metrics are soundly grounded on the principles of handwriting production and handwriting analysis. These computed metrics could serve as descriptors for scripts and also be used for comparing and analyzing scripts. We illustrate some quantitative analysis based on the proposed metrics by applying it to the paleographic evolution of the medieval Tamil script from Brahmi. We also outline future work.

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“…It has been often applied to simplified patterns (eg a series of dotsövan der Helm et al 1992; joined line segmentsöHanssen et al 1993) that are useful for demonstrating that the visual system is sensitive to particular relations. It has also been tested using a variety of tasks, such as judging how three-dimensional an object looks (Butler 1982), choosing among a set of possible segmentations of patterns (van der Helm et al 1992), and explicitly judging pattern complexity (Hanssen et al 1993). SIT has been shown to predict the hidden parts of objects in 2-D occlusion displays (van Lier 1999) and the symmetries employed in various classes of artwork (van der Helm 2011).…”

Section: Information Efficiency and Simplicitymentioning

confidence: 99%

The Role of Constant Curvature in 2-D Contour Shape Representations

Garrigan

Kellman

2011

Perception

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In early cortex, visual information is encoded by retinotopic orientation-selective units. Higher-level representations of abstract properties, such as shape, require encodings that are invariant to changes in size, position, and orientation. Within the domain of open, 2-D contours, we consider how an economical representation that supports viewpoint-invariant shape comparisons can be derived from early encodings. We explore the idea that 2-D contour shapes are encoded as joined segments of constant curvature. We report three experiments in which participants compared sequentially presented 2-D contour shapes comprised of constant curvature (CC) or non-constant curvature (NCC) segments. We show that, when shapes are compared across viewpoint or for a retention interval of 1000 ms, performance is better for CC shapes. Similar recognition performance is observed for both shape types, however, if they are compared at the same viewpoint and the retention interval is reduced to 500 ms. These findings are consistent with a symbolic encoding of 2-D contour shapes into CC parts when the retention intervals over which shapes must be stored exceed the duration of initial, transient, visual representations.

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Metrical information load of lines and angles in line patterns

Cited by 3 publications

References 18 publications

Simplicity versus likelihood in visual perception: From surprisals to precisals.

Simplicity versus likelihood in visual perception: From surprisals to precisals.

Quantifying Scripts: Defining Metrics of Characters for Quantitative and Descriptive Analysis

The Role of Constant Curvature in 2-D Contour Shape Representations

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