An influential assumption for the front end of models in vision, visual search, and object
recognition is an analysis of independent features that correspond to basic image …

Human performance during visual search typically improves when spatial cues indicate the
possible target locations. In many instances, the performance improvement is quantitatively …

The effect of distractor homogeneity and target–distractor similarity on visual search was
previously explored under two models designed for computer vision. We extend these …

Simultaneous search for one of two targets is slower and less accurate than search for a
single target. Within the Signal Detection Theoretic (SDT) framework, this can be attributed …

To characterize internal processes of an observer conducting perceptual tasks, we
developed an observer model that combines the perceptual template model (PTM), the …

Recently, quantitative models based on signal detection theory have been successfully
applied to the prediction of human accuracy in visual search for a target that differs from …

• Eye movements in complex scenes are guided by bottomup and top-down information [1]•
Prior studies have shown the bottom-up element of local image properties (statistics of the …

Visual search experiments have usually involved the detection of a salient target in the
presence of distracters against a blank background. In such high signal-to-noise scenarios …

Scene context is known to facilitate object recognition and guide visual search, but little work
has focused on isolating image-based cues and evaluating their contributions to eye …

Observers can learn the likely locations of salient distractors in visual search, reducing their
potential to cause interference. Although there is agreement that this involves positional …