Interactive Appearance Manipulation of Fiber-based Materials

Achieving a visually appealing experience for the user interaction with photo-realistic digitized micro-fiber materials is a challenging task. While state-of-the-art high-quality fabric modeling techniques rely on complex micro-geometry representations that are computationally expensive and not well-suited for interactive rendering, previous interactive reflectance models reach a speed-up at the cost of discarding many of the effects of light exchange that significantly contribute to the appearance of fabric materials. In this paper, we present a novel, example-based technique for the interactive manipulation of micro-fiber materials based on bidirectional texture functions (BTFs) that allow considering fine details in the surface reflectance behavior. BTFs of the respective material sample are acquired for varying fiber orientations and combined to a single texture representation that encodes material appearance depending on the view and light conditions as well as the orientations of the fibers. This model can be efficiently evaluated depending on the user input which, as demonstrated by our results, allows a realistic simulation of the interaction with micro-fiber materials in

[1]  Shuang Zhao,et al.  Fitting procedural yarn models for realistic cloth rendering , 2016, ACM Trans. Graph..

[2]  Gero Müller,et al.  Data-driven methods for compression and editing of spatially varying appearance , 2008 .

[3]  Steve Marschner,et al.  Building volumetric appearance models of fabric using micro CT imaging , 2014, Commun. ACM.

[4]  Shuang Zhao,et al.  Recent advances in physically-based appearance modeling of cloth , 2012, SA '12.

[5]  Shree K. Nayar,et al.  Time-varying surface appearance , 2006, SIGGRAPH 2006.

[6]  Richard Vock,et al.  Time-Varying BTFs , 2010 .

[7]  K. Bala,et al.  A radiative transfer framework for rendering materials with anisotropic structure , 2010, SIGGRAPH 2010.

[8]  Richard Szeliski,et al.  Video textures , 2000, SIGGRAPH.

[9]  Steve Marschner,et al.  Specular reflection from woven cloth , 2012, TOGS.

[10]  Holly E. Rushmeier,et al.  Physically-based interactive bi-scale material design , 2011, ACM Trans. Graph..

[11]  Michael Goesele,et al.  Advances in Geometry and Reflectance Acquisition , 2016, Eurographics.

[12]  Reinhard Klein,et al.  Image-Based Reverse Engineering and Visual Prototyping of Woven Cloth , 2015, IEEE Transactions on Visualization and Computer Graphics.

[13]  Christopher Schwartz,et al.  WebGL-based streaming and presentation of objects with bidirectional texture functions , 2013, JOCCH.

[14]  B. Wünsche,et al.  An Evaluation on Woven Cloth Rendering Techniques , 2012 .

[15]  Reinhard Klein,et al.  A Volumetric Approach to Predictive Rendering of Fabrics , 2011, EGSR '11.

[16]  Reinhard Klein,et al.  Non‐Local Image Reconstruction for Efficient Computation of Synthetic Bidirectional Texture Functions , 2013, Comput. Graph. Forum.

[17]  Matthias B. Hullin,et al.  An Interactive Appearance Model for Microscopic Fiber Surfaces , 2016, VMV.

[18]  Bo Sun,et al.  Time-Varying BRDFs , 2006, NPH.

[19]  Steve Marschner,et al.  Matching Real Fabrics with Micro-Appearance Models , 2015, ACM Trans. Graph..

[20]  Peter Shirley,et al.  A microfacet-based BRDF generator , 2000, SIGGRAPH.

[21]  Stephen DiVerdi,et al.  RealBrush: painting with examples of physical media , 2013, ACM Trans. Graph..

[22]  Shree K. Nayar,et al.  Reflectance and Texture of Real-World Surfaces Authors , 1997, CVPR 1997.

[23]  Christopher Schwartz,et al.  DOME II: A Parallelized BTF Acquisition System , 2013, Material Appearance Modeling.

[24]  Michal Haindl,et al.  Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling , 2013 .

[25]  Henrik Wann Jensen,et al.  A practical microcylinder appearance model for cloth rendering , 2013, TOGS.

[26]  M. V. D. Panne,et al.  Displacement Interpolation Using Lagrangian Mass Transport , 2011 .

[27]  Eli Shechtman,et al.  Brushables: Example‐based Edge‐aware Directional Texture Painting , 2015, Comput. Graph. Forum.

[28]  Christopher Schwartz,et al.  Design and Implementation of Practical Bidirectional Texture Function Measurement Devices Focusing on the Developments at the University of Bonn , 2014, Sensors.