2D & 3D Visual Attention for Computer Vision: Concepts, Measurement, and Modeling

Vincent Ricordel 1, 2 Junle Wang 1, 2 Matthieu Perreira da Silva 1, 2 Patrick Le Callet 1, 2
2 irccyn-ivc
IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : Visual attention is one of the most important mechanisms deployed in the human visual system (HVS) to reduce the amount of information that our brain needs to process. An increasing amount of efforts has been dedicated to the study of visual attention, and this chapter proposes to clarify the advances achieved in computational modeling of visual attention. First the concepts of visual attention, including the links between visual salience and visual importance, are detailed. The main characteristics of the HVS involved in the process of visual perception are also explained. Next we focus on eye-tracking, because of its role in the evaluation of the performance of the models. A complete state of the art in computational modeling of visual attention is then presented. The research works that extend some visual attention models to 3D by taking into account of the impact of depth perception are finally explained and compared.
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https://hal.archives-ouvertes.fr/hal-01150634
Contributor : Harold Mouchère <>
Submitted on : Monday, May 11, 2015 - 4:00:07 PM
Last modification on : Wednesday, September 11, 2019 - 11:00:02 AM

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Vincent Ricordel, Junle Wang, Matthieu Perreira da Silva, Patrick Le Callet. 2D & 3D Visual Attention for Computer Vision: Concepts, Measurement, and Modeling. Rajarshi Pal. Innovative Research in Attention Modeling and Computer Vision Applications., 2015. ⟨hal-01150634⟩

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