Non-linear approximation of reflectance functions

Lafortune, Eric P.; Foo, Sing-Choong; Torrance, K. E.; Greenberg, Donald P.

doi:10.1145/258734.258801

Cited by 391 publications

(245 citation statements)

References 24 publications

(33 reference statements)

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“…Although some more sophisticated techniques exist [29,15,34], acquiring the reflectance properties of a 20 complex object can be still considered an open issue. …”

Section: Discussionmentioning

confidence: 99%

Acquiring, stitching and blending diffuse appearance attributes on 3D models

Rocchini¹,

Cignoni²,

Montani³

et al. 2002

Vis Comput

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A new system for the construction of highly realistic models of real free-form 3D objects is proposed, based on the integration of several techniques (automatic 3D scanning, inverse illumination, inverse texture-mapping and textured 3D graphics). Our system improves the quality of a 3D model (e.g. acquired with a range scanning device) by adding color detail and, if required, high frequency shape detail. Detail is obtained by processing a set of digital photographs of the object. This is carried out by performing several subtasks: to compute camera calibration and position, to remove illumination effects obtaining both illumination-invariant reflectance properties and a high resolution surface normal field, and finally to blend and stitch the acquired detail on the triangle mesh via standard texture mapping. In particular, the smooth join between different images that map on adjacent sections of the surface is obtained by applying an accurate piecewise local registration of the original images and by blending textures. For each mesh face which is on the adjacency border between different observed images, a corresponding triangular texture patch can also be resampled as a weighted blend of the corresponding adjacent image sections. Examples of the results obtained with sample works of art are presented and discussed.

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“…Although some more sophisticated techniques exist [29,15,34], acquiring the reflectance properties of a 20 complex object can be still considered an open issue. …”

Section: Discussionmentioning

confidence: 99%

Acquiring, stitching and blending diffuse appearance attributes on 3D models

Rocchini¹,

Cignoni²,

Montani³

et al. 2002

Vis Comput

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“…As storing individual data samples of densely sampled BRDFs is memory inefficient, often approximating models are fitted through the large data collection. This is either achieved by fitting an analytical model [18][19][20][21][22], or projecting the data to polynomial [23,6], spherical harmonics [24][25][26] or wavelet bases [27,28]. For the sake of simplicity as well as compatibility with known tools, in our work we will employ a simple analytical Phong model [29] where the glossiness is represented by a single exponent parameter.…”

Section: Reflectancementioning

confidence: 99%

Gloss and Normal Map Acquisition of Mesostructures Using Gray Codes

Francken

Cuypers

Mertens

et al. 2009

Advances in Visual Computing

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Abstract. We propose a technique for gloss and normal map acquisition of finescale specular surface details, or mesostructure. Our main goal is to provide an efficient, easily applicable, but sufficiently accurate method to acquire mesostructures. We therefore employ a setup consisting of inexpensive and accessible components, including a regular computer screen and a digital still camera. We extend the Gray code based normal map acquisition approach of Francken et al. [1] which utilizes a similar setup. The quality of the original method is retained and without requiring any extra input data we are able to extract per pixel glossiness information. In the paper we show the theoretical background of the method as well as results on real-world specular mesostructures.

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“…Lafortune [18] presented a more elaborate model based on the Phong model that accounted for off-specular peaks, retro-reflection and anisotropy:…”

Section: Empirical Modelsmentioning

confidence: 99%

“…Lensch et al [20] presented a clustering procedure to model spatially varying BRDFs and fit each cluster to a Lafortune model [18].…”

Section: Image Based Brdf Acquisitionmentioning

confidence: 99%

BRDF Acquisition with Basis Illumination

Ghosh

Achutha

Heidrich

et al. 2007

2007 IEEE 11th International Conference on Computer Vision

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To create a realistic image we need to characterize how light reflects off a surface.In optics terminology, the complete Bidirectional Reflectance Distribution Function is needed. At a given point on a surface the BRDF is a function of two directions, one toward the light and one toward the viewer. Any device for measuring the 4D reflectance data has to obtain measurements over the hemisphere of incident and exitant directions which can be quite tedious if done using the brute-force approach.In this thesis, we describe an efficient image-based acquisition setup that has no moving parts and can acquire reflectance data in a matter of a few minutes. We make this possible by using curved reflective surfaces that eliminate the need to move either the camera or the light source. The acquisition speedup mostly comes from the way we optically sample the BRDF data into a suitable basis. This also saves us the postprocess compression of data. We then encode the data into a compact form that is suitable for use in various rendering systems. ContentsAbstract .

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Non-linear approximation of reflectance functions

Cited by 391 publications

References 24 publications

Acquiring, stitching and blending diffuse appearance attributes on 3D models

Acquiring, stitching and blending diffuse appearance attributes on 3D models

Gloss and Normal Map Acquisition of Mesostructures Using Gray Codes

BRDF Acquisition with Basis Illumination

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