Reverse engineering approach to appearance-based design of metallic and pearlescent paints

Ershov, Sergey; Ďurikovič, Roman; Kolchin, Konstantin; Myszkowski, Karol

doi:10.1007/s00371-004-0248-0

Cited by 44 publications

(21 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ershov presents a method that determines the parameters of a BRDF model for metallic paints using the measured data [20]. But many physical parameters are coupled in his model so that it is difficult to optimize the model based on a measure-and-fit method.…”

Section: Model Fitting To the Measured Brdfmentioning

confidence: 99%

See 1 more Smart Citation

A Reflectance Model for Metallic Paints Using a Two-Layer Structure Surface with Microfacet Distributions

Kim

Lee

2010

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYWe present a new method that can represent the reflectance of metallic paints accurately using a two-layer reflectance model with sampled microfacet distribution functions. We model the structure of metallic paints simplified by two layers: a binder surface that follows a microfacet distribution and a sub-layer that also follows a facet distribution. In the sub-layer, the diffuse and the specular reflectance represent color pigments and metallic flakes respectively. We use an iterative method based on the principle of Gauss-Seidel relaxation that stably fits the measured data to our highly non-linear model. We optimize the model by handling the microfacet distribution terms as a piecewise linear non-parametric form in order to increase its degree of freedom. The proposed model is validated by applying it to various metallic paints. The results show that our model has better fitting performance compared to the models used in other studies. Our model provides better accuracy due to the non-parametric terms employed in the model, and also gives efficiency in analyzing the characteristics of metallic paints by the analytical form embedded in the model. The non-parametric terms for the microfacet distribution in our model require densely measured data but not for the entire BRDF(bidirectional reflectance distribution function) domain, so that our method can reduce the burden of data acquisition during measurement. Especially, it becomes efficient for a system that uses a curved-sample based measurement system which allows us to obtain dense data in microfacet domain by a single measurement. key words: metallic paint, reflectance modeling, multi-layer surface, measure-and-fit, non-parametric basis function

show abstract

Section: Model Fitting To the Measured Brdfmentioning

confidence: 99%

“…To evaluate the performance of our model, we have selected a Cook-Torrance model with 2 specular lobes and the Ershov's model which have been used for representing metallic paints based on measured data in previous studies [5], [7], [20]. We test the two-layer model described in Sect.…”

Section: Model Fittingmentioning

confidence: 99%

A Reflectance Model for Metallic Paints Using a Two-Layer Structure Surface with Microfacet Distributions

Kim

Lee

2010

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

show abstract

“…Based on these models Ershov et al [EDKM04] showed how appearance attributes like shade and gloss can be mapped to the physically based paint model parameters to perform reverse engineering of paints.…”

Section: Previous Workmentioning

confidence: 99%

Photo‐realistic Rendering of Metallic Car Paint from Image‐Based Measurements

Rump

Müller

Sarlette

et al. 2008

Computer Graphics Forum

View full text Add to dashboard Cite

Figure 1: Based on analytical reflectance modeling and image-based rendering our technique accurately reproduces complex effects of modern car paint like specular reflection, spatially varying glitter with depth impression and color shifts. AbstractState-of-the-art car paint shows not only interesting and subtle angular dependency but also significant spatial variation. Especially in sunlight these variations remain visible even for distances up to a few meters and give the coating a strong impression of depth which cannot be reproduced by a single BRDF model and the kind of procedural noise textures typically used. Instead of explicitly modeling the responsible effect particles we propose to use image-based reflectance measurements of real paint samples and represent their spatial varying part by Bidirectional Texture Functions (BTF). We use classical BRDF models like Cook-Torrance to represent the reflection behavior of the base paint and the highly specular finish and demonstrate how the parameters of these models can be derived from the BTF measurements. For rendering, the image-based spatially varying part is compressed and efficiently synthesized. This paper introduces the first hybrid analytical and image-based representation for car paint and enables the photo-realistic rendering of all significant effects of highly complex coatings.

show abstract

“…Based on these models [Ershov et al 2004] later showed how to reverse engineer the appearance of real paint by appropriate mapping of the surface parameters of their paint model.…”

Section: Related Workmentioning

confidence: 99%

Modeling aventurescent gems with procedural textures

Weidlich

Wilkie

2008

Proceedings of the 24th Spring Conference on Computer Graphics

View full text Add to dashboard Cite

Figure 1: Examples of gemstones that exhibit aventurescence, and that have been rendered using the methods described in this paper. The beads on the necklace that is draped on the drinking glass in the leftmost image are examples of Sunstone, a genuine mineral that is sought after for its ephemeral, amber-like appearance with glittering inclusions. The middle image is a close-up of several beads, while the picture on the right shows a silver ring with a gem made from black aventurescent glass. AbstractIn this paper we present the results of an investigation on how one can model aventurescence, an interesting and optically appealing property of some gemstones. Our goal was to find a method that is both efficient and reasonably realistic, and that can still be used in the context of a global illumination rendering system.

show abstract

Reverse engineering approach to appearance-based design of metallic and pearlescent paints

Cited by 44 publications

References 13 publications

A Reflectance Model for Metallic Paints Using a Two-Layer Structure Surface with Microfacet Distributions

A Reflectance Model for Metallic Paints Using a Two-Layer Structure Surface with Microfacet Distributions

Photo‐realistic Rendering of Metallic Car Paint from Image‐Based Measurements

Modeling aventurescent gems with procedural textures

Contact Info

Product

Resources

About