A Novel Approach For Texture Shape Recovery

  • Authors:
  • Jing Wang;Kristin J. Dana

  • Affiliations:
  • -;-

  • Venue:
  • ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
  • Year:
  • 2003

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Abstract

In vision and graphics, there is a sustained interest incapturing accurate 3D shape with various scanning devices.However, the resulting geometric representation isonly part of the story. Surface texture of real objects isalso an important component of the representation and fine-scalesurface geometry such as surface markings, roughness,and imprints, are essential in highly realistic renderingand accurate prediction. We present a novel approachfor measuring the fine-scale surface shape of specular surfacesusing a curved mirror to view multiple angles in asingle image. A distinguishing aspect of our method is thatit is designed for specular surfaces, unlike many methods(e.g. laser scanning) which cannot handle highly specularobjects. Also, the spatial resolution is very high so that itcan resolve very small surface details that are beyond theresolution of standard devices. Furthermore, our approachincorporates the simultaneous use of a bidirectional texturemeasurement method, so that spatially varying bidirectionalreflectance is measured at the same time as surfaceshape.