Toward a psychophysically-based light reflection model for image synthesis

Pellacini, Fabio; Ferwerda, James A.; Greenberg, Donald P.

doi:10.1145/344779.344812

Cited by 216 publications

(294 citation statements)

References 22 publications

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“…In this context, our work is similar to Pellacini et al [2000] and Wills et al [2009], which propose a perceptual space for gloss, and Gkioulekas et al [2013], where perception of translucent materials is studied. Pellacini et al use standard multi-dimensional scaling (MDS), which is based on the distances between different images reported by a subject, to learn a two-dimensional space of bi-direction reflectance distribution functions (BRDF).…”

Section: Materials Perception In Computer Graphicsmentioning

confidence: 97%

“…Inspired by [Pellacini et al 2000;Wills et al 2009], we construct a pointwise approximation by applying multi-dimensional scaling to a predefined set of compliant 3D printed metamaterials. This, however, does not provide us with a closed-form transformation between different materials and the perceptual space, which is desired for many applications.…”

Section: Introductionmentioning

confidence: 99%

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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: 97%

Section: Introductionmentioning

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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“…Pellacini et al [2000] and Westlund and Meyer [2001] developed psychophysical models of gloss perception. Vangorp et al [2007; studied the effect of object shape on gloss perception.…”

Section: Related Workmentioning

confidence: 99%

“…The most direct way to achieve our goals would be to densely sample the space of phase functions, and then design a psychophysical experiment to obtain perceptual distances between images rendered with all pairs of these phase functions. This has provided useful insights into the perception of certain aspects of opaque reflectance [Pellacini et al 2000;Wills et al 2009]. In the present case this approach is not tractable, however: the number of dimensions of the physical parameter space implies that even a coarse sampling would require more than 60 million human judgments.…”

Section: Introductionmentioning

confidence: 99%

Understanding the role of phase function in translucent appearance

Gkioulekas¹,

Xiao

Zhao

et al. 2013

ACM Trans. Graph.

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Multiple scattering contributes critically to the characteristic translucent appearance of food, liquids, skin, and crystals; but little is known about how it is perceived by human observers. This paper explores the perception of translucency by studying the image effects of variations in one factor of multiple scattering: the phase function. We consider an expanded space of phase functions created by linear combinations of Henyey-Greenstein and von Mises-Fisher lobes, and we study this physical parameter space using computational data analysis and psychophysics.Our study identifies a two-dimensional embedding of the physical scattering parameters in a perceptually-meaningful appearance space. Through our analysis of this space, we find uniform parameterizations of its two axes by analytical expressions of moments of the phase function, and provide an intuitive characterization of the visual effects that can be achieved at different parts of it. We show that our expansion of the space of phase func- Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and/or a fee. Permissions may be requested from Publications Dept., ACM, Inc., 2 Penn Plaza, Suite 701, New York, NY 10121-0701 USA, fax +1 (212) 869-0481, or permissions@acm.org. © YYYY ACM 0730-0301/YYYY/13-ARTXXX $10.00 DOI 10.1145/XXXXXXX.YYYYYYY http://doi.acm.org/10.1145/XXXXXXX.YYYYYYY tions enlarges the range of achievable translucent appearance compared to traditional single-parameter phase function models. Our findings highlight the important role phase function can have in controlling translucent appearance, and provide tools for manipulating its effect in material design applications.

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“…It accounts for diffuse and glossy reflection, in isotropic and anisotropic versions through a small set of intuitive parameters. Pellacini et al [16] used a physically based model of reflection and modified its parameters in a way which makes them perceptually meaningful.…”

Section: Related Workmentioning

confidence: 99%

Family of Energy Conserving Glossy Reflection Models

Radziszewski

Alda

2008

Computational Science – ICCS 2008

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Abstract. We present an improved reflection model optimized for global illumination. The model produces visually plausible images, is symmetric and has improved energy preserving capabilities compared to previous approaches which satisfies these requirements. Having an efficient sampling routine, the model is ready to use in Monte Carlo rendering. Presented model is phenomenological, i.e. it has intuitive glossiness parameter that affects its appearance. Moreover it can be used as a set of basis functions designed to fit material reflection to measured data.

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Toward a psychophysically-based light reflection model for image synthesis

Cited by 216 publications

References 22 publications

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

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

Understanding the role of phase function in translucent appearance

Family of Energy Conserving Glossy Reflection Models

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