Skeletal descriptions of shape provide unique perceptual information for object recognition.

ABSTRACT: With seemingly little effort, humans can both identify an object across large changes in orientation and extend category membership to novel exemplars. Although researchers argue that object shape is crucial in these cases, there are open questions as to how shape is represented for object recognition. Here we tested whether the human visual system incorporates a three-dimensional skeletal descriptor of shape to determine an object's identity. Skeletal models not only provide a compact description of an object's global shape structure, but also provide a quantitative metric by which to compare the visual similarity between shapes. Our results showed that a model of skeletal similarity explained the greatest amount of variance in participants' object dissimilarity judgments when compared wi

SUBMITTER: Ayzenberg V 

PROVIDER: S-EPMC6597715 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature