MURAL - Maynooth University Research Archive Library



    Brightness Illusions as Optimal Percepts - Technical Report: NUIM-CS-TR-2006-02


    Jaramillo, Santiago and Pearlmutter, Barak A. (2006) Brightness Illusions as Optimal Percepts - Technical Report: NUIM-CS-TR-2006-02. Technical Report. National University of Ireland Maynooth. (Unpublished)

    [img] Download (82kB)


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We show that Mach bands and a number of other low-level brightness illusions can be accounted for by assuming that the perceptual system performs simple Bayesian inference using a Gaussian image prior with noisy retinal gangion cells. This theory accounts for phenomena which have proven problematic for simple energy-based and lateral-interaction models while avoiding the complexities of mid-level vision theories that involve the estimation of structure and albedo.

    Item Type: Monograph (Technical Report)
    Additional Information: Supported by US NSF CAREER 97-02-311, the MIND Institute, an equipment grant from Intel corporation, a gift from the NEC Research Institute, and Science Foundation Ireland grant 00/PI.1/C067.
    Keywords: Brightness Illusions; Optimal Percepts; MACH Bands; Gaussian image; Bayesian inference;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 2315
    Depositing User: Barak Pearlmutter
    Date Deposited: 16 Dec 2010 15:17
    Publisher: National University of Ireland Maynooth
    Funders: US NSF CAREER 97-02-311, MIND Institute, Intel corporation (equipment grant), NEC Research Institute, Science Foundation Ireland grant 00/PI.1/C067
    URI:
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year

      Origin of downloads