Shape and view independent reflectance map from multiple views

Tianli Yu, Ning Xu, Narendra Ahuja

Research output: Contribution to journalArticlepeer-review


We consider the problem of estimating the 3D shape and reflectance properties of an object made of a single material from a set of calibrated views. To model the reflectance, we propose to use the View Independent Reflectance Map (VIRM), which is a representation of the joint effect of the diffuse+specular Bidirectional Reflectance Distribution Function (BRDF) and the environment illumination. The object shape is parameterized using a triangular mesh. We pose the estimation problem as minimizing the cost of matching input images, and the images synthesized using the shape and VIRM estimates. We show that by enforcing a constant value of VIRM as a global constraint, we can minimize the cost function by iterating between the VIRM and shape estimation. Experimental results on both synthetic and real objects show that our algorithm can recover both the 3D shape and the diffuse/specular reflectance information. Our algorithm does not require the light sources to be known or calibrated. The estimated VIRM can be used to predict the appearances of objects with the same material from novel viewpoints and under transformed illumination.

Original languageEnglish (US)
Pages (from-to)123-138
Number of pages16
JournalInternational Journal of Computer Vision
Issue number2
StatePublished - Jun 2007


  • 3d reconstruction
  • BRDF
  • Illumination model
  • Reflectance model
  • Shape from shading

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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