Influence of optical material properties on the perception of liquids

Assen, Jan Jaap R. van; Fleming, Roland W.

doi:10.1167/16.15.12

Cited by 37 publications

(57 citation statements)

References 42 publications

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“…The correspondence in appearance established by asymmetric matching may be used to quantify the degree of human color constancy, and to study what cues are used to achieve it. Similar methods have also been used to study the stability of perceived object material [e.g., 10,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

The perception of color and material in naturalistic tasks

Brainard

Cottaris

Radonjić

2018

Preprint

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Perceived object color and material properties help us to select and interact with objects. Because there is no simple mapping between the pattern of an object's image on the retina and its physical reflectance, our perception of color and material are made more useful through sophisticated visual computations. A long-standing goal in vision science is to describe how these computations work, particularly as they act to stabilize perceived color and material against variation in scene factors extrinsic to object surface properties, such as the illumination. If we take seriously the notion that perceived color and material are useful because they help guide behavior in natural tasks, then we need experimental that measure and models that describe how they are used in such tasks. To this end, we have developed selection-based methods and accompanying perceptual models for studying perceived object color and material. This focused review highlights key aspects of our work. It includes a discussion of future directions and challenges, as well as an outline of a computational observer model that incorporates early, known, stages of visual processing and that clarifies how early vision shapes selection performance. BrainardColor and Material

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Section: Introductionmentioning

confidence: 99%

The perception of color and material in naturalistic tasks

Brainard

Cottaris

Radonjić

2018

Preprint

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“…Previous studies have reported several image features such as shape (Paulun et al, 2016; van Assen and Fleming, 2016), motion (Kawabe et al, 2015b), and image deformations at surfaces (Kawabe et al, 2015a; Kawabe and Kogovšek, 2017) caused the perception of a liquid material. In addition to these image features, the present study indicates that contour non-rigidity is perceptually linked to a liquid material.…”

Section: Discussionmentioning

confidence: 99%

“…For example, by differentiating solid from liquid materials, humans can adaptively control their actions toward an object, such as how to grasp it (Paulun et al, 2016), or whether they can walk on it or eat it. Recent studies have clarified that both shape (Paulun et al, 2015; van Assen and Fleming, 2016) and motion (Kawabe et al, 2015b) cues are effective for discriminating liquid viscosity.…”

Section: Introductionmentioning

confidence: 99%

What Property of the Contour of a Deforming Region Biases Percepts toward Liquid?

Kawabe

2017

Front. Psychol.

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Human observers can perceive the existence of a transparent surface from dynamic image deformation. They can also easily discriminate a transparent solid material such as plastic and glass from a transparent fluid one such as water and shampoo just by viewing them. However, the image information required for material discrimination of this sort is still unclear. A liquid changes its contour shape non-rigidly. We therefore examined whether additional properties of the contour of a deformation-defined region, which indicated contour non-rigidity, biased percepts of the region toward liquid materials. Our stimuli had a translating circular region wherein a natural texture image was deformed at the spatiotemporal deformation frequency that was optimal for the perception of a transparent layer. In Experiment 1, we dynamically deformed the contour of the circular region and found that large deformation of the contour biased the percept toward liquid. In Experiment 2, we manipulated the blurriness of the contour and observed that a strongly blurred contour biased percepts toward liquid. Taken together, the results suggest that a deforming region lacking a discrete contour biases percepts toward liquid.

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“…Recent studies measured the effects of optical properties, shape and motion cues on perception of stiffness and elasticity of deformable objects. Studies in liquid viscosity discovered that viscosity is inferred primarily from shape and motion cues but that optical characteristics influence recognition of specific liquids and inference of other physical properties (Van Assen & Fleming, 2016). Schmidt et al (2017) investigated the interactions among optical properties, shape and motion cues on the effect of estimation stiffness of unfamiliar objects using material attributes rating task.…”

Section: Methodsmentioning

confidence: 99%

“…Other studies have reported that shape cues are sufficient for the judgment of liquid viscosity and stiffness of deformable and elastic objects (Paulun, Kawabe, Nishida, & Fleming, 2015;Paulun et al, 2017;Spröte & Fleming, 2016). For example, a liquid of a given viscosity can settle into shapes with characteristic features Van Assen & Fleming, 2016;Van Assen et al, 2018) and these features are diagnostic for its viscosity. Previous studies also show that optical properties affect perception of shape deformations (Han & Keyser, 2015;.…”

Section: Previous Work Deformation Cues In Materials Perceptionmentioning

confidence: 99%

Manipulating patterns of dynamic deformation elicits the impression of cloth with varying stiffness

Jin

Nienborg

et al. 2019

Preprint

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Cloth is a common material and humans can visually estimate its mechanical properties by observing how it deforms under external forces. Here we ask whether, and how, dynamic deformation can affect the perception of mechanical properties of cloth. In Experiment 1, we find that both intrinsic mechanical properties and optical properties affect stiffness perception when the stimuli are presented as images. By contrast, in videos, humans can partially discount the effect of optical appearances and exhibit higher sensitivity to stiffness. We further identified an idiosyncratic deformation pattern (i.e., movement uniformity) to differentiate stiffness, which can be reliably measured by six optical flow features. In Experiment 2, we isolate the deformation by creating dynamic dot stimuli from the 3D mesh of the cloth. We directly alter the movement pattern by manipulating the uniformity of the displacement vectors on the dot stimuli, and show that changing the pattern of dynamic deformation alone can alter the perceived stiffness of cloth in a variety of scene set-ups. Furthermore, by analyzing optical flow fields extracted from the manipulated dynamic dot stimuli, we confirmed the same six optical flow features can be diagnostic of the degree of stiffness of moving cloth across different scenes. Overall, our study demonstrates that manipulating patterns of dynamic deformation alone can elicit the impression of cloth with varying stiffness, suggesting that human visual system might rely on the idiosyncratic pattern of dynamic deformation for estimating stiffness.

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Influence of optical material properties on the perception of liquids

Cited by 37 publications

References 42 publications

The perception of color and material in naturalistic tasks

The perception of color and material in naturalistic tasks

What Property of the Contour of a Deforming Region Biases Percepts toward Liquid?

Manipulating patterns of dynamic deformation elicits the impression of cloth with varying stiffness

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