6533b7cffe1ef96bd12598b3
RESEARCH PRODUCT
Synergy of features enables detection of texture defined figures
Günter MeinhardtMalte Persikesubject
MaleDepth PerceptionRandom fieldbusiness.industryOrientation (computer vision)Information processingExperimental and Cognitive PsychologyTexture (music)Visual processingPattern Recognition VisualFeature (computer vision)Task Performance and AnalysisHumansFemaleComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceSpatial frequencybusinessPsychologyPhotic StimulationIndependence (probability theory)description
Traditional theories of early visual processing suggest that elementary visual features are handled in parallel by independent neural pathways. We studied the interaction of orientation and spatial frequency in the discrimination of Gabor random fields. Target textures differed from reference textures either in mean feature value, showing an edge-like transition between both textures (edge defined), or in the degree of feature homogeneity with smooth transitions (region defined). Irrespective of the kind of texture definition, we found strong cue summation for targets defined by both cues simultaneously, provided two conditions were fulfilled. First, they were barely discriminable when defined by one cue alone. Second, the target elements formed a closed 2D surface. Only marginal cue summation was observed when target elements were heterogeneously distributed in a predefined area, lacking a clear 2D shape. Our findings indicate that feature synergy enables figure-ground segregation when the information from independent feature-specific pathways is insufficient for solving this task.
year | journal | country | edition | language |
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2006-01-18 | Spatial Vision |