Measurement of bidirectional reflectance distribution function with a linear light source

This paper proposes a practical measurement system for bidirectional reflectance distribution functions (BRDFs) of a three-dimensional (3D) object with a linear light source. Using the linear light source, the proposed system can reduce the number of image acquisitions which are necessary for an estimation of the spatially-varying BRDFs of the object. Furthermore, the size of the proposed system is much smaller than a conventional system which uses a parallel light. In this proposed system, the light field of the linear light source is previously measured to determine direction and radiance of incident rays to each point of the object, because the direction and radiance are not constant at each point. Using the proposed system, the BRDF of a point of flat objects was experimentally measured, and results showed validation of the estimation accuracy of the proposed system. Measurement efficiency of the proposed system was also evaluated by comparing reflectance model parameters estimated by the conventional and proposed systems. For the estimation, the reflectance function of a 3D object was measured by both systems. The estimation accuracy of the proposed method was also evaluated by comparing among a real image and rendered 3D objects of the conventional and proposed methods.

[1]  Tomoyuki Nishita,et al.  Shading models for point and linear sources , 1985, TOGS.

[2]  Richard Szeliski,et al.  The lumigraph , 1996, SIGGRAPH.

[3]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[4]  Ian Ashdown,et al.  Near-Field Photometry: Measuring and Modeling Complex 3-D Light Sources , 1995, SIGGRAPH 1995.

[5]  Norimichi Tsumura,et al.  Measuring Light Field of Light Source with High Directional Resolution Using Mirrored Ball and Pinhole Camera , 2006 .

[6]  Katsushi Ikeuchi,et al.  Temporal-color space analysis of reflection , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

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

[8]  Hideaki Haneishi Goniospectral imaging of three-dimensional objects , 2001 .

[9]  Diego F. Nehab,et al.  Efficiently combining positions and normals for precise 3D geometry , 2005, SIGGRAPH 2005.

[10]  Takeo Kanade,et al.  Determining shape and reflectance of hybrid surfaces by photometric sampling , 1989, IEEE Trans. Robotics Autom..

[11]  Norimichi Tsumura,et al.  Fast Estimation Algorithm for Calculation of Reflectance Map based on Wiener Estimation Technique , 2005 .

[12]  Pierre Poulin,et al.  Shading and shadowing with linear light sources , 1990, Comput. Graph..

[13]  P. Y. Ngai,et al.  On Near-Field Photometry , 1987 .

[14]  I. Ashdown,et al.  Near-Field Photometry: A New Approach , 1993 .

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

[16]  K. Torrance,et al.  Theory for off-specular reflection from roughened surfaces , 1967 .

[17]  Marc Levoy,et al.  Light field rendering , 1996, SIGGRAPH.

[18]  Donald P. Greenberg,et al.  A Comprehensive Light-Source Description for Computer Graphics , 1984, IEEE Computer Graphics and Applications.

[19]  Hans-Peter Seidel,et al.  Accurate light source acquisition and rendering , 2003, SIGGRAPH 2003.

[20]  Norimichi Tsumura,et al.  Development of goniophotometric imaging system for recording reflectance spectra of 3D objects , 2001, IS&T/SPIE Electronic Imaging.

[21]  Andrew Gardner,et al.  Capturing and Rendering with Incident Light Fields , 2003, Rendering Techniques.

[22]  Katsushi Ikeuchi,et al.  Object shape and reflectance modeling from observation , 1997, SIGGRAPH.

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

[24]  Andrew Gardner,et al.  Linear light source reflectometry , 2003, ACM Trans. Graph..