Visual search in scenes involves selective and nonselective pathways

作者: Jeremy M Wolfe , Melissa L-H Võ , Karla K Evans , Michelle R Greene

DOI: 10.1016/J.TICS.2010.12.001

关键词:

摘要: How does one find objects in scenes? For decades, visual search models have been built on experiments which observers for targets, presented among distractor items, isolated and randomly arranged blank backgrounds. Are these relevant to continuous This article argues that the mechanisms govern artificial, laboratory tasks do play a role scenes. However, scene-based information is used guide ways had no place earlier models. Search scenes might be best explained by dual-path model: 'selective' path candidate must individually selected recognition 'nonselective' can extracted from global and/or statistical information.

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