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Moving towards solutions to some enduring controversies in visual search.

机译:寻求解决视觉搜索中一些持久争议的方法。

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摘要

How do we find a target item in a visual world filled with distractors? A quarter of a century ago, in her influential 'Feature Integration Theory (FIT)', Treisman proposed a two-stage solution to the problem of visual search: a preattentive stage that could process a limited number of basic features in parallel and an attentive stage that could perform more complex acts of recognition, one object at a time. The theory posed a series of problems. What is the nature of that preattentive stage? How do serial and parallel processes interact? How does a search unfold over time? Recent work has shed new light on these issues.
机译:我们如何在充满干扰因素的视觉世界中找到目标项目?四分之一世纪以前,特赖斯曼(Treisman)在她颇有影响力的“功能集成理论(FIT)”中提出了一个针对视觉搜索问题的两阶段解决方案:一个预先专注的阶段,可以并行处理有限数量的基本特征,而一个专注可以执行更复杂的识别动作的阶段,一次只能一个对象。该理论提出了一系列问题。这个专注阶段的本质是什么?串行和并行进程如何交互?搜索如何随时间展开?最近的工作为这些问题提供了新的思路。

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