Simulating the appearance of sandy landscapes

Sand is one of the most complex materials found in nature. Undeniably the correct modelling of its appearance attributes (such as hue, lightness, and glossiness) is essential to the realistic image synthesis of a wide range of outdoor scenes. Despite this central role, to date, few simulation efforts have been specifically directed to this ubiquitous material. In this paper, we present a modular framework for simulating the appearance of sandy landscapes. It is based on the use of a comprehensive light transport model specifically designed for granular materials like sand, and robust numerical reconstruction methods. While the former provides the physical basis for the generation of predictive results, the latter add efficiency to entire simulation process by enabling the use of analytical formulae to represent the spectral and spatial (scattering related) appearance attributes of sand. The fidelity and usefulness of the proposed framework are demonstrated through several image sequences depicting sand appearance variations resulting from changes of mineralogical characteristics and environmental conditions.

[1]  D. L. Macadam,et al.  The measurement of appearance , 1975 .

[2]  John Gerrard,et al.  Fundamentals of Soils , 2000 .

[3]  Julie Dorsey,et al.  Digital Modeling of Material Appearance , 2007 .

[4]  Craig Gotsman,et al.  Compression of soft-body animation sequences , 2004, Comput. Graph..

[5]  Tomoyuki Nishita,et al.  A method for modeling and rendering dunes with wind-ripples , 2000, Proceedings the Eighth Pacific Conference on Computer Graphics and Applications.

[6]  Donald P. Greenberg,et al.  Non-linear approximation of reflectance functions , 1997, SIGGRAPH.

[7]  Roger N. Clark,et al.  The US Geological Survey, digital spectral reflectance library: version 1: 0.2 to 3.0 microns , 1993 .

[8]  James T. Kajiya,et al.  The rendering equation , 1998 .

[9]  Djamchid Ghazanfarpour,et al.  Modeling and Rendering of Heterogeneous Granular Materials: Granite Application , 2007 .

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

[12]  Tomoyuki Nishita,et al.  Virtual sandbox , 2003, 11th Pacific Conference onComputer Graphics and Applications, 2003. Proceedings..

[13]  Steven G. Parker,et al.  Practical global illumination for interactive particle visualization , 2008, Comput. Graph..

[14]  Gavin S. P. Miller,et al.  Rapid, stable fluid dynamics for computer graphics , 1990, SIGGRAPH.

[15]  Erkki Oja,et al.  Independent Component Analysis , 2001 .

[16]  Shree K. Nayar,et al.  Generalization of Lambert's reflectance model , 1994, SIGGRAPH.

[17]  Leonidas J. Guibas,et al.  Robust Monte Carlo methods for light transport simulation , 1997 .

[18]  Peter Shirley,et al.  A practical analytic model for daylight , 1999, SIGGRAPH.

[19]  G. Baranoski,et al.  A novel approach for simulating light interaction with particulate materials: application to the modeling of sand spectral properties. , 2007, Optics express.

[20]  Andrew S. Glassner,et al.  Principles of Digital Image Synthesis , 1995 .

[21]  Penelope A. Farrant Colour in Nature: A Visual and Scientific Exploration , 1997 .

[22]  Julie Dorsey,et al.  Rendering of Wet Materials , 1999, Rendering Techniques.

[23]  Laurent Lucas,et al.  SoDA project: A simulation of soil surface degradation by rainfall , 2006, Comput. Graph..

[24]  Peter Shirley,et al.  Image synthesis using adjoint photons , 2006, Graphics Interface.

[25]  Saibun Tjuatja,et al.  A modeling study of backscattering from soil surfaces , 1996, IEEE Trans. Geosci. Remote. Sens..

[26]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[27]  W. W. McFee,et al.  The Nature and Properties of Soils, 8th Edition , 1975 .

[28]  Maureen C. Stone,et al.  A field guide to digital color , 2003 .

[29]  E. R. Stoner,et al.  REFLECTANCE PROPERTIES OF SOILS , 1986 .

[30]  S. Nayar,et al.  An empirical BSSRDF model , 2009, SIGGRAPH 2009.

[31]  G. Hunt Visible and near-infrared spectra of minerals and rocks : I silicate minerals , 1970 .

[32]  Jon G. Rokne,et al.  Improving the Reliability/Cost Ratio of Goniophotometric Comparisons , 2004, J. Graphics, GPU, & Game Tools.

[33]  T. L. Lyon,et al.  The Nature and Properties of Soils , 1930 .

[34]  Gladimir V. G. Baranoski,et al.  A Compact Framework to Efficiently Represent the Reflectance of Sand Samples , 2009, IEEE Transactions on Geoscience and Remote Sensing.