A survey of 3D object selection techniques for virtual environments
Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking systems and gesture recognition technologies. Although interaction techniques through natural gestures have already demonstrated their benef...
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| Published in | Computers & graphics Vol. 37; no. 3; pp. 121 - 136 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.05.2013
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking systems and gesture recognition technologies. Although interaction techniques through natural gestures have already demonstrated their benefits in manipulation, navigation and avatar-control tasks, effective selection with pointing gestures remains an open problem. In this paper we survey the state-of-the-art in 3D object selection techniques. We review important findings in human control models, analyze major factors influencing selection performance, and classify existing techniques according to a number of criteria. Unlike other components of the application's user interface, pointing techniques need a close coupling with the rendering pipeline, introducing new elements to be drawn, and potentially modifying the object layout and the way the scene is rendered. Conversely, selection performance is affected by rendering issues such as visual feedback, depth perception, and occlusion management. We thus review existing literature paying special attention to those aspects in the boundary between computer graphics and human–computer interaction.
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► We review major 3D object selection techniques for virtual environments. ► Important findings in human control models for 3D object selection are reviewed. ► We analyze major factors influencing selection performance. |
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| AbstractList | Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking systems and gesture recognition technologies. Although interaction techniques through natural gestures have already demonstrated their benefits in manipulation, navigation and avatar-control tasks, effective selection with pointing gestures remains an open problem. In this paper we survey the state-of-the-art in 3D object selection techniques. We review important findings in human control models, analyze major factors influencing selection performance, and classify existing techniques according to a number of criteria. Unlike other components of the application's user interface, pointing techniques need a close coupling with the rendering pipeline, introducing new elements to be drawn, and potentially modifying the object layout and the way the scene is rendered. Conversely, selection performance is affected by rendering issues such as visual feedback, depth perception, and occlusion management. We thus review existing literature paying special attention to those aspects in the boundary between computer graphics and human-computer interaction. Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking systems and gesture recognition technologies. Although interaction techniques through natural gestures have already demonstrated their benefits in manipulation, navigation and avatar-control tasks, effective selection with pointing gestures remains an open problem. In this paper we survey the state-of-the-art in 3D object selection techniques. We review important findings in human control models, analyze major factors influencing selection performance, and classify existing techniques according to a number of criteria. Unlike other components of the application's user interface, pointing techniques need a close coupling with the rendering pipeline, introducing new elements to be drawn, and potentially modifying the object layout and the way the scene is rendered. Conversely, selection performance is affected by rendering issues such as visual feedback, depth perception, and occlusion management. We thus review existing literature paying special attention to those aspects in the boundary between computer graphics and human–computer interaction. [Display omitted] ► We review major 3D object selection techniques for virtual environments. ► Important findings in human control models for 3D object selection are reviewed. ► We analyze major factors influencing selection performance. Computer graphics applications controlled through natural gestures are gaining increasing popularity these days due to recent developments in low-cost tracking systems and gesture recognition technologies. Although interaction techniques through natural gestures have already demonstrated their benefits in manipulation, navigation and avatar-control tasks, effective selection with pointing gestures remains an open problem. In this paper we survey the state-of-the-art in 3D object selection techniques. We review important findings in human control models, analyze major factors influencing selection performance, and classify existing techniques according to a number of criteria. Unlike other components of the application's user interface, pointing techniques need a close coupling with the rendering pipeline, introducing new elements to be drawn, and potentially modifying the object layout and the way the scene is rendered. Conversely, selection performance is affected by rendering issues such as visual feedback, depth perception, and occlusion management. We thus review existing literature paying special attention to those aspects in the boundary between computer graphics and humanacomputer interaction. |
| Author | Andujar, Carlos Argelaguet, Ferran |
| Author_xml | – sequence: 1 givenname: Ferran surname: Argelaguet fullname: Argelaguet, Ferran email: fernando.argelaguet_sanz@inria.fr organization: VR4i Research Group, INRIA Rennes, France – sequence: 2 givenname: Carlos surname: Andujar fullname: Andujar, Carlos email: andujar@lsi.upc.edu organization: MOVING Research Group, Universitat Politècnica de Catalunya, Spain |
| BackLink | https://hal.science/hal-00907787$$DView record in HAL |
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| Keywords | Virtual pointing 3D selection Virtual reality 3D interaction |
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| SubjectTerms | 3D interaction 3D selection Boundaries Computer graphics Computer Science Feedback Human-Computer Interaction Perception Recognition Rendering Three dimensional Tracking systems Virtual pointing Virtual reality |
| Title | A survey of 3D object selection techniques for virtual environments |
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