Journal
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
Volume 36, Issue 11, Pages 1159-1176Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0278364917726587
Keywords
Visual attention in 3D; eye tracking in 3D; computational models of visual attention; saliency maps
Categories
Funding
- European Community, Seventh Framework Programme (FP7) [610532 (SQUIRREL), 600623 (STRANDS)]
- Austrian Science Foundation [TRP 139-N23 (InSitu)]
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3D visual attention plays an important role in both human and robotics perception that yet has to be explored in full detail. However, the majority of computer vision and robotics methods are concerned only with 2D visual attention. This survey presents findings and approaches that cover 3D visual attention in both human and robot vision, summarizing the last 30 years of research and also looking beyond computational methods. First, we present work in such fields as biological vision and neurophysiology, studying 3D attention in human observers. This provides a view of the role attention plays at the system level for biological vision. Then, we cover computer and robot vision approaches that take 3D visual attention into account. We compare approaches with respect to different categories, such as feature-based, data-based, or depth-based visual attention, and draw conclusions on what advances will help robotics to cope better with complex real-world settings and tasks.
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