Low-level features predict perceived similarity for naturalistic images.

ABSTRACT: The mechanisms by which humans perceptually organize individual regions of a visual scene to generate a coherent scene representation remain largely unknown. Our perception of statistical regularities has been relatively well-studied in simple stimuli, and explicit computational mechanisms that use low-level image features (e.g., luminance, contrast energy) to explain these perceptions have been described. Here, we investigate to what extent observers can effectively use such low-level information present in isolated naturalistic scene regions to facilitate associations between said regions. Across two experiments, participants were shown an isolated reference patch, then required to select which of two subsequently presented patches came from the same scene as the reference (two-alternati

SUBMITTER: A-Izzeddin EJ 

PROVIDER: S-EPMC12514980 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature