September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Does geometric sharpness affect perception of translucent material perception?
Author Affiliations
  • Bei Xiao
    American University, Department of Computer Science
  • Shuang Zhao
    University of California, Irvine, Department of Computer Science
  • Ioannis Gkioulekas
    Carnegie Mellon University, Robotics Institute
  • Wenyan Bi
    American University, Department of Computer Science
  • Kavita Bala
    American University, Department of Computer Science
Journal of Vision September 2018, Vol.18, 225. doi:https://doi.org/10.1167/18.10.225
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Bei Xiao, Shuang Zhao, Ioannis Gkioulekas, Wenyan Bi, Kavita Bala; Does geometric sharpness affect perception of translucent material perception?. Journal of Vision 2018;18(10):225. https://doi.org/10.1167/18.10.225.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

When judging material properties of a translucent object, we often look at sharp geometric features such as edges. Image analysis shows edges of translucent objects exhibit distinctive light scattering profiles. Around the edges, there is often rapid change of material thickness, which provides valuable information for recovering material properties. Previous study found that perception of 3D mesoscopic shape is different between opaque and translucent objects. Here, we examine whether geometry affects perception of translucent material perception. The images used in the experiment are computer-generated using Mitsuba physically based renderer. The shape of an object is described as 2D height fields (in which each pixel contains the amount of extrusion from the object surface to the base plane). We varied both material properties and 3D shapes of the stimuli: for the former, we used materials with varying optical densities (used by the radiative transfer model) so that the object would have different levels of ground-truth translucency; for the latter, we applied different amounts of Gaussian blur to the underlying height fields. Seven observers finished a paired-comparison experiment where they viewed a pair of images that had different ground-truth translucency and blur levels. They were asked to judge which object appeared to be more translucent. We also included control conditions where the objects in both images have the same blur levels. We found that when there was no difference in the level of blurring between the images, observers could discriminate material properties of the two objects well (mean accuracy =81%). However, when the two objects differ in the blur level, all observers started to make more mistakes (mean accuracy = 71%). We conclude that observers' sensitivity to translucent appearance is affected by the sharpness of the 3D geometry of the object, thus suggesting 3D shape affects material perception for translucency.

Meeting abstract presented at VSS 2018

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×