Estimating dual-scale properties of glossy surfaces from step-edge lighting

Wang, Chun-Po; Snavely, Noah; Marschner, Steve

doi:10.1145/2024156.2024206

Cited by 19 publications

(20 citation statements)

References 29 publications

(13 reference statements)

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“…Wang et al [WSM11] use step‐edge lighting to estimate the surface reflectance of a homogeneous material as well as the mesostructure. While they pursue a similar goal as us, their method is limited to planar surfaces and requires active illumination.…”

Section: Related Workmentioning

confidence: 99%

On‐Site Example‐Based Material Appearance Acquisition

Lin

Peers

Ghosh

2019

Computer Graphics Forum

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We present a novel example‐based material appearance modeling method suitable for rapid digital content creation. Our method only requires a single HDR photograph of a homogeneous isotropic dielectric exemplar object under known natural illumination. While conventional methods for appearance modeling require prior knowledge on the object shape, our method does not, nor does it recover the shape explicitly, greatly simplifying on‐site appearance acquisition to a lightweight photography process suited for non‐expert users. As our central contribution, we propose a shape‐agnostic BRDF estimation procedure based on binary RGB profile matching. We also model the appearance of materials exhibiting a regular or stationary texture‐like appearance, by synthesizing appropriate mesostructure from the same input HDR photograph and a mesostructure exemplar with (roughly) similar features. We believe our lightweight method for on‐site shape‐agnostic appearance acquisition presents a suitable alternative for a variety of applications that require plausible “rapid‐appearance‐modeling”.

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Section: Related Workmentioning

confidence: 99%

On‐Site Example‐Based Material Appearance Acquisition

Lin

Peers

Ghosh

2019

Computer Graphics Forum

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“…[AWL13] a low cost capture setup for SVBRDFs is presented, as shown in Figure 19 with a similar setup as Francken The capture set up by Wang et al [WSM11], consists of a vision camera and a regular LCD, used as an area light source (see Figure 20(a)). It allows rapid measurement of a stationary, isotropic, glossy and bumpy surface, describing its appearance with a duallevel model, which consists of the specular and diffuse relative albedos, two surface roughness parameters and a 1D power spectrum over frequencies for visible surface bumps.…”

Section: Lcd Light Sourcementioning

confidence: 99%

BRDF Representation and Acquisition

Guarnera

Ghosh

et al. 2016

Computer Graphics Forum

151

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Photorealistic rendering of real world environments is important in a range of different areas; including Visual Special effects, Interior/Exterior Modelling, Architectural Modelling, Cultural Heritage, Computer Games and Automotive Design. Currently, rendering systems are able to produce photorealistic simulations of the appearance of many real‐world materials. In the real world, viewer perception of objects depends on the lighting and object/material/surface characteristics, the way a surface interacts with the light and on how the light is reflected, scattered, absorbed by the surface and the impact these characteristics have on material appearance. In order to re‐produce this, it is necessary to understand how materials interact with light. Thus the representation and acquisition of material models has become such an active research area. This survey of the state‐of‐the‐art of BRDF Representation and Acquisition presents an overview of BRDF (Bidirectional Reflectance Distribution Function) models used to represent surface/material reflection characteristics, and describes current acquisition methods for the capture and rendering of photorealistic materials.

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“…Microfacet BRDFs (e.g., [Cook and Torrance 1982;Oren and Nayar 1994;Ashikmin et al 2000]) are modeled by statistical distributions of the orientations and shadowing of perfectly specular or Lambertian facets, assuming no correlations between the two factors. Wang et al [2011] propose a dual-scale statistical model for stationary, isotropic indoor surface appearance. More complex appearance can be modeled by explicitly constructing the smallscale structures, and then performing an expensive simulation of light interactions [Westin et al 1992;Gondek et al 1994].…”

Section: Previous Workmentioning

confidence: 99%

Inverse bi-scale material design

Dorsey

Rushmeier

2013

ACM Trans. Graph.

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: Given a target large-scale material, our inverse appearance solver efficiently searches through precomputed small-scale material and geometry libraries. Then it returns a few small-scale materials and geometries as results, which approximate the target large-scale appearance when combined. AbstractOne major shortcoming of existing bi-scale material design systems is the lack of support for inverse design: there is no way to directly edit the large-scale appearance and then rapidly solve for the small-scale details that approximate that look. Prior work is either too slow to provide quick feedback, or limited in the types of small-scale details that can be handled. We present a novel computational framework for inverse bi-scale material design. The key idea is to convert the challenging inverse appearance computation into efficient search in two precomputed large libraries: one including a wide range of measured and analytical materials, and the other procedurally generated and height-map-based geometries. We demonstrate a variety of editing operations, including finding visually equivalent details that produce similar large-scale appearance, which can be useful in applications such as physical fabrication of materials.

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Estimating dual-scale properties of glossy surfaces from step-edge lighting

Cited by 19 publications

References 29 publications

On‐Site Example‐Based Material Appearance Acquisition

On‐Site Example‐Based Material Appearance Acquisition

BRDF Representation and Acquisition

Inverse bi-scale material design

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