Vanishing point attracts gaze in free-viewing and visual search tasks
Ali Borji, Mengyang Feng

TL;DR
This study demonstrates that vanishing points significantly attract gaze and aid visual search, with models combining VP and saliency outperforming saliency-only models in predicting gaze behavior.
Contribution
The paper provides empirical evidence that vanishing points attract gaze and improve visual search efficiency, introducing a combined saliency and VP model for better gaze prediction.
Findings
Fixations are significantly higher at vanishing points during free viewing.
A combined saliency and VP model outperforms saliency-only models in predicting gaze.
Subjects locate targets faster and more accurately near vanishing points.
Abstract
To investigate whether the vanishing point (VP) plays a significant role in gaze guidance, we ran two experiments. In the first one, we recorded fixations of 10 observers (4 female; mean age 22; SD=0.84) freely viewing 532 images, out of which 319 had VP (shuffled presentation; each image for 4 secs). We found that the average number of fixations at a local region (80x80 pixels) centered at the VP is significantly higher than the average fixations at random locations (t-test; n=319; p=1.8e-35). To address the confounding factor of saliency, we learned a combined model of bottom-up saliency and VP. AUC score of our model (0.85; SD=0.01) is significantly higher than the original saliency model (e.g., 0.8 using AIM model by Bruce & Tsotsos (2009), t-test; p= 3.14e-16) and the VP-only model (0.64, t-test; p= 4.02e-22). In the second experiment, we asked 14 subjects (4 female, mean age…
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Taxonomy
TopicsVisual Attention and Saliency Detection · Gaze Tracking and Assistive Technology · Face Recognition and Perception
