Calibration, registration, and synchronization for high precision augmented reality haptics.
Identifieur interne : 001373 ( PubMed/Corpus ); précédent : 001372; suivant : 001374Calibration, registration, and synchronization for high precision augmented reality haptics.
Auteurs : Matthias Harders ; Gérald Bianchi ; Benjamin Knoerlein ; Gábor SzékelySource :
- IEEE transactions on visualization and computer graphics [ 1077-2626 ]
English descriptors
- KwdEn :
- MESH :
- geographic : Switzerland.
- methods : Information Storage and Retrieval.
- standards : Computer Graphics, Computer Peripherals, Information Storage and Retrieval.
- Algorithms, Calibration, Touch, User-Computer Interface.
Abstract
In our current research we examine the application of visuo-haptic augmented reality setups in medical training. To this end, highly accurate calibration, system stability, and low latency are indispensable prerequisites. These are necessary to maintain user immersion and avoid breaks in presence which potentially diminish the training outcome. In this paper we describe the developed calibration methods for visuo-haptic integration, the hybrid tracking technique for stable alignment of the augmentation, and the distributed framework ensuring low latency and component synchronization. Finally, we outline an early prototype system based on the multimodal augmented reality framework. The latter allows colocated visuo-haptic interaction with real and virtual scene components in a simplified open surgery setting.
DOI: 10.1109/TVCG.2008.63
PubMed: 19008561
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pubmed:19008561Le document en format XML
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<front><div type="abstract" xml:lang="en">In our current research we examine the application of visuo-haptic augmented reality setups in medical training. To this end, highly accurate calibration, system stability, and low latency are indispensable prerequisites. These are necessary to maintain user immersion and avoid breaks in presence which potentially diminish the training outcome. In this paper we describe the developed calibration methods for visuo-haptic integration, the hybrid tracking technique for stable alignment of the augmentation, and the distributed framework ensuring low latency and component synchronization. Finally, we outline an early prototype system based on the multimodal augmented reality framework. The latter allows colocated visuo-haptic interaction with real and virtual scene components in a simplified open surgery setting.</div>
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<Abstract><AbstractText>In our current research we examine the application of visuo-haptic augmented reality setups in medical training. To this end, highly accurate calibration, system stability, and low latency are indispensable prerequisites. These are necessary to maintain user immersion and avoid breaks in presence which potentially diminish the training outcome. In this paper we describe the developed calibration methods for visuo-haptic integration, the hybrid tracking technique for stable alignment of the augmentation, and the distributed framework ensuring low latency and component synchronization. Finally, we outline an early prototype system based on the multimodal augmented reality framework. The latter allows colocated visuo-haptic interaction with real and virtual scene components in a simplified open surgery setting.</AbstractText>
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