Vanishing Point Attracts Eye Movements in Scene Free-viewing
This work addresses the problem of improving gaze prediction in scene free-viewing for applications in computer vision and human-computer interaction, representing an incremental advancement.
The study investigated the influence of vanishing points on human gaze in natural scenes and found that gaze is attracted to these regions, leading to a combined model of traditional saliency and vanishing point that outperforms state-of-the-art saliency models.
Eye movements are crucial in understanding complex scenes. By predicting where humans look in natural scenes, we can understand how they percieve scenes and priotriaze information for further high-level processing. Here, we study the effect of a particular type of scene structural information known as vanishing point and show that human gaze is attracted to vanishing point regions. We then build a combined model of traditional saliency and vanishing point channel that outperforms state of the art saliency models.