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Perceptual Representation of Material Quality: Adaptation to BRDF-Morphing Images

  • K. KudouEmail author
  • K. Sakai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Abstract

Perception of the material quality of a surface depends on its reflectance properties. Recent physiological studies reported the neural selectivity to glossy surfaces in the Inferior Temporal cortical areas [e.g., 1]. In the present study, we examine the hypothesis that basis neurons are selective to typical materials, and that the combinations of their responses are representative of a variety of natural materials. To assess the hypotheses, we performed a psychological experiment based on adaptation. If adaptation to a specific material is observed, the presence of neurons that are selective to the specific material is predicted. We performed adaptation tests with six typical material qualities including gloss, matte, metal and wood. We observed the adaptation to certain materials but not to some other materials. This result indicates the presence of basis neurons that are selective to materials, which is fundamentally important for understanding cortical representation of surface materials.

Keywords

Vision Visual cortex Adaptation Psychophysics Material quality Surface reflectance properties 

Notes

Acknowledgements

This work was supported by a grant-in-aid from JSPS (KAKENHI 26280047) and a grant-in-aid for Scientific Research on Innovative Areas, “Shitsukan” (No. 25135704) from MEXT, Japan.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of TsukubaTsukubaJapan

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