ArticleVision research2016
A proto-object based saliency model in three-dimensional space.
Article in Vision research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Event-driven figure-ground organisation model for the humanoid robot iCub.Nature communications · 2025Article
- The influence of stereopsis on visual saliency in a proto-object based model of selective attention.Vision research · 2023Article
- Event-driven proto-object based saliency in 3D space to attract a robot's attention.Scientific reports · 2022Article
- Egocentric Distance Perception Disorder in Amblyopia.Psychologica Belgica · 2021Article
- A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model With a Hybrid FPGA Implementation.IEEE transactions on biomedical circuits and systems · 2021Article
- Analysis of spiking synchrony in visual cortex reveals distinct types of top-down modulation signals for spatial and object-based attention.PLoS computational biology · 2021Article
- Proto-Object Based Saliency Model With Texture Detection Channel.Frontiers in computational neuroscience · 2020Article
- Interactions Elicited by the Contradiction Between Figure Direction Discrimination and Figure-Ground Segregation.Frontiers in psychology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Most models of visual saliency operate on two-dimensional images, using elementary image features such as intensity, color, or orientation. The human visual system, however, needs to function in complex three-dimensional environments, where depth information is often available and may be used to guide the bottom-up attentional selection process. In this report we extend a model of proto-object based saliency to include depth information and evaluate its performance on three separate three-dimensional eye tracking datasets. Our results show that the additional depth information provides a small, but statistically significant, improvement in the model's ability to predict perceptual saliency (eye fixations) in natural scenes. The computational mechanisms of our model have direct neural correlates, and our results provide further evidence that proto-objects help to establish perceptual organization of the scene.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.