Efficient Modeling of Objects BRDF with Planned Sampling

DOI Web Site 1 References
  • Ali Asad
    Institute of Industrial Science, University of Tokyo
  • Sato Imari
    National Institute of Informatics
  • Okabe Takahiro
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • Sato Yoichi
    Institute of Industrial Science, University of Tokyo

Abstract

In this work we propose a novel method for modeling and synthesizing objects appearance based on planned sampling. The proposed method can efficiently model the BRDF of an object with uniform and isotropic reflectance using a small number of light source directions. This is achieved by utilizing together the knowledge of the object's shape along with the statistics of various BRDFs. The method considers the shape of the object, compact basis representing variations in a reflectance dataset, a fixed view direction and all possible light source directions around the object. Then using an iterative optimization process which simulates the contribution of each light source in modeling the object appearance, our method identifies the most suitable set of light source directions for efficiently modeling the BRDF of the object's material. The selected light sources are then used to acquire actual images of the object for recovering its reflectance properties. Experiments conducted using several objects with varying shapes and a small number of light sources optimally selected by the method validate the effectiveness of the proposed approach in modeling object appearance.

Journal

References(1)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top