Bidirectional Reflectance Measurement and Reflection Model Fitting of Complex Materials Using an Image-Based Measurement Setup

Materials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time consuming to characterize such a material. We investigate the suitability of using an image-based measurement setup to measure materials with a complex visual appearance and model them using two well-established reflection models, Cook–Torrance and isotropic Ward. It was learned that the complex materials typically used in the print and packaging industry, similar to the ones used in this paper, can be measured bidirectionally using our measurement setup, but with a noticeable error. Furthermore, the performance of the reflection models used in this paper shows big errors colorimetrically, especially for the goniochromatic material measured.

[1]  Christian Eugène,et al.  Measurement of "Visual Appearance" : a CIE challenge of soft metrology , 2008 .

[2]  Jannik Boll Nielsen,et al.  On optimal, minimal BRDF sampling for reflectance acquisition , 2015, ACM Trans. Graph..

[3]  Wojciech Matusik,et al.  A data-driven reflectance model , 2003, ACM Trans. Graph..

[4]  C. McCamy,et al.  Observation and measurement of the appearance of metallic materials. Part I. Macro appearance , 1996 .

[5]  Jaakko Lehtinen,et al.  Two-shot SVBRDF capture for stationary materials , 2015, ACM Trans. Graph..

[6]  Shoji Tominaga,et al.  Image based reflectance measurement based on camera spectral sensitivities , 2016 .

[7]  Jitendra Malik,et al.  Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH.

[8]  Robert L. Cook,et al.  A Reflectance Model for Computer Graphics , 1987, TOGS.

[9]  Aditya Suneel Sole,et al.  Evaluating an image based multi-angle measurement setup using different reflection models , 2017 .

[10]  Shoji Tominaga,et al.  Estimating Reflection Parameters from a Single Color Image , 2000, IEEE Computer Graphics and Applications.

[11]  F. Maile,et al.  Effect pigments—past, present and future , 2005 .

[12]  J. Koenderink,et al.  Optical properties (bidirectional reflection distribution functions) of velvet. , 1998, Applied optics.

[13]  Shoji Tominaga,et al.  An image-based multi-directional reflectance measurement setup for flexible objects , 2015, Electronic Imaging.

[14]  Gregory J. Ward,et al.  Measuring and modeling anisotropic reflection , 1992, SIGGRAPH.

[15]  Giuseppe Claudio Guarnera,et al.  BRDF Representation and Acquisition , 2016, Comput. Graph. Forum.

[16]  Steve Marschner,et al.  Image-Based BRDF Measurement Including Human Skin , 1999, Rendering Techniques.

[17]  Andreas Höpe,et al.  Three-dimensional appearance characterization of diffuse standard reflection materials , 2010 .

[18]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[19]  Franko Schmähling,et al.  Numerical comparison of sampling strategies for BRDF data manifolds , 2016 .

[20]  G. Klein,et al.  Industrial Color Physics , 2010 .

[21]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[22]  Ivana Tomić,et al.  Artificial neural networks for optimising camera-based colour measurements of prints enhanced with pearlescent pigments , 2018, Coloration Technology.

[23]  Shoji Tominaga,et al.  Evaluating an image-based bidirectional reflectance distribution function measurement setup. , 2018, Applied optics.

[24]  Stephen H. Westin,et al.  Automated three-axis gonioreflectometer for computer graphics applications , 2005, SPIE Optics + Photonics.