Effect of appearance on perception of deformation

Han, Deguang; Keyser, John

doi:10.1145/2786784.2786797

Cited by 13 publications

(15 citation statements)

References 25 publications

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“…Recently, also auditory perception of different materials has been investigated to improve sound rendering techniques [Ren et al 2013]. Han and Keyser [2015] examined the influence of material appearance on the deformation perception and demonstrated that appearance can influence the judgment of softness. In the context of fabrication, Zhang et al [2015] proposed a method for optimizing printing direction that minimizes visual artifacts in printed objects.…”

Section: Materials Perception In Computer Graphicsmentioning

confidence: 99%

An interaction-aware, perceptual model for non-linear elastic objects

Piovarči

Levin

Rebello³

et al. 2016

ACM Trans. Graph.

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Force-displacement Force histogramPhysically based simulation Stiff Soft Figure 1: 3D printing allows us to print objects with varying deformation properties. The question that we want to answer is: Given a set of printing materials and a 3D object with desired elasticity properties, which material should be used to print the object? For example, given sample ducks (left) with desired elasticity properties (e.g., measured), our system considers several candidate materials that can be used for replicating the ducks (right), and chooses materials that will best match compliance properties when examined by an observer (red and green outlines). Moreover, we can sort all possible materials by their perceived compliance as predicted by our model. The measured compliance is indicated with colors ranging from stiff (blue) to soft (red). AbstractEveryone, from a shopper buying shoes to a doctor palpating a growth, uses their sense of touch to learn about the world. 3D printing is a powerful technology because it gives us the ability to control the haptic impression an object creates. This is critical for both replicating existing, real-world constructs and designing novel ones. However, each 3D printer has different capabilities and supports different materials, leaving us to ask: How can we best replicate a given haptic result on a particular output device? In this work, we address the problem of mapping a real-world material to its nearest 3D printable counterpart by constructing a perceptual model for the compliance of nonlinearly elastic objects. We begin by building a perceptual space from experimentally obtained user comparisons of twelve 3D-printed metamaterials. By comparing this space to a number of hypothetical computational models, we identify those that can be used to accurately and efficiently evaluate human-perceived differences in nonlinear stiffness. Furthermore, we demonstrate how such models can be applied to complex geometries in an interaction-aware way where the compliance is influenced not only by the material properties from which the object is made but also its geometry. We demonstrate several applications of our method in the context of fabrication and evaluate them in a series of user experiments.

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Section: Materials Perception In Computer Graphicsmentioning

confidence: 99%

An interaction-aware, perceptual model for non-linear elastic objects

Piovarči

Levin

Rebello³

et al. 2016

ACM Trans. Graph.

View full text Add to dashboard Cite

show abstract

“…Garcia et al design a perceptual experiment to test whether the appeal of deformation simulation was improved by their method and study local deformation effects in perception of contacts [GOO10]. Han and Keyser show that appearance of an object can influence its perceived stiffness [HK15]. Han and Keyser show that appearance of an object can influence its perceived stiffness [HK15].…”

Section: Perception Of Elastic Deformationmentioning

confidence: 99%

“…Pejsa studies which properties of deforming objects people perceive, and which vocabulary terms they use to describe these properties [Pej12]. Han and Keyser show that appearance of an object can influence its perceived stiffness [HK15]. However, this work confounds high-level hints and low-level visual details in the experiment.…”

Section: Perception Of Elastic Deformationmentioning

confidence: 99%

“…deformation). Han and Keyser have shown that there is a significant effect of texture on people's perceived stiffness of deformable objects in simple scenarios with only a few objects and simple backgrounds [HK15]. Their work further showed that low-level visual details, rather than high-level hints, in a texture are more dominant in influencing people's perception.…”

Section: Introductionmentioning

confidence: 99%

“…Han and Keyser have shown that there is a significant effect of texture on people's perceived stiffness of deformable objects in simple scenarios with only a few objects and simple backgrounds [HK15]. A texture can potentially enhance or reduce the perceived stiffness of an object, thus influencing the plausibility of the scene, especially if the object is undergoing physically based simulation (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of Low‐level Visual Details in Perception of Deformation

Han

Keyser

2016

Computer Graphics Forum

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Figure 1: Frames taken from two stimuli. They are rendered from a physically based simulation of deformable sphere models with differing Young's Modulus. We combine different levels of contrast and spatial frequency to create 25 different checkerboard textures, two of which are shown above. We further study how backgrounds can influence the effect of low-level visual details using stimuli like the lower one. AbstractWe quantitatively measure how different low-level visual details can influence people's perceived stiffness of a deformable sphere under physically based simulation. The result can be used to create a metric for artists in designing textures to enhance or reduce the stiffness perceived by a viewer. We use a checkerboard texture to render the simulation of a free falling sphere that collides with the ground and bounces up. We vary the spatial frequency and contrast of the checkerboard pattern according to results seen in a previous study on the Spatial-Temporal Contrast Sensitivity Function (CSF). We find that checkerboard pattern with certain combinations of spatial frequency and contrast can reduce the perceived stiffness. We also add a high contrast checkerboard background to study how complex backgrounds can influence the effect of low-level details in textures of foreground objects. Our study shows that the effect of low-level visual details in foreground objects observed previously disappears in this situation. This indicates the importance of background, even if it is static.

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Perceptual judgments for the softness of materials under indentation

Ujitoko

Kawabe

2022

Sci Rep

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Humans can judge the softness of elastic materials through only visual cues. However, factors contributing to the judgment of visual softness are not yet fully understood. We conducted a psychophysical experiment to determine which factors and motion features contribute to the apparent softness of materials. Observers watched video clips in which materials were indented from the top surface to a certain depth, and reported the apparent softness of the materials. The depth and speed of indentation were systematically manipulated. As physical characteristics of materials, compliance was also controlled. It was found that higher indentation speeds resulted in larger softness rating scores and the variation with the indentation speed was successfully explained by the image motion speed. The indentation depth had a powerful effect on the softness rating scores and the variation with the indentation depth was consistently explained by motion features related to overall deformation. Higher material compliance resulted in higher softness rating scores and these variation with the material compliance can be explained also by overall deformation. We conclude that the brain makes visual judgments about the softness of materials under indentation on the basis of the motion speed and deformation magnitude.

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Effect of appearance on perception of deformation

Cited by 13 publications

References 25 publications

An interaction-aware, perceptual model for non-linear elastic objects

An interaction-aware, perceptual model for non-linear elastic objects

Effect of Low‐level Visual Details in Perception of Deformation

Perceptual judgments for the softness of materials under indentation

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