Detecting shape change: Characterizing the interaction between texture-defined and contour-defined borders
| Autor: | David R. Badcock, Ken W. S. Tan, J. Edwin Dickinson |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Shape change
Surface Properties business.industry Computer science Pooling Pattern recognition Texture (music) Luminance Sensory Systems Form Perception Ophthalmology Discrimination Psychological Optics Orientation Sensory Thresholds Path (graph theory) Human visual system model Humans Sensitivity (control systems) Artificial intelligence Cues business Photic Stimulation |
| Zdroj: | Journal of Vision. 13:12-12 |
| ISSN: | 1534-7362 |
| DOI: | 10.1167/13.14.12 |
| Popis: | The human visual system's extreme sensitivity to subtle changes in shape can often be attributed to global pooling of local information. This has been shown for shapes described by paths of contiguous elements, but it was unknown whether this global pooling translated to shapes defined by texture-segmentation borders. Also, previous research suggests that texture and luminance cues-to-shape are integrated by the visual system for shape detection but it has not been established whether they combined for shape discrimination. Controlled shapes defined either by an explicit path of Gabors, texture-segmentation borders, or both of these cues were used. Results show that all stimuli used were globally processed. Thresholds for shapes defined by both cues matched predictions based on an independent-cue vector sum of individual thresholds. Thus, while local elements are integrated around the contour and are processed by global shape-detection mechanisms, integration did not occur across different shape-cues. |
| Databáze: | OpenAIRE |
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