Magnetic-visual sensor fusion-based dense 3d reconstruction and localization for endoscopic capsule robots


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Date

2018-03-02

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Working Paper

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Abstract

Reliable and real-time 3D reconstruction and localization functionality is a crucial prerequisite for the nav- igation of actively controlled capsule endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic tech- nology for use in the gastrointestinal (GI) tract. In this study, we propose a fully dense, non-rigidly deformable, strictly real- time, intraoperative map fusion approach for actively controlled endoscopic capsule robot applications which combines mag- netic and vision-based localization, with non-rigid deformations based frame-to-model map fusion. The performance of the proposed method is demonstrated using four different ex-vivo porcine stomach models. Across different trajectories of varying speed and complexity, and four different endoscopic cameras, the root mean square surface reconstruction errors 1.58 to 2.17 cm.

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published

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1803.01048

Publisher

Cornell University

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Subject

Deep Learning; Endoscopy

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09474 - Yanik, Mehmet Fatih / Yanik, Mehmet Fatih check_circle
09726 - Sitti, Metin (ehemalig) / Sitti, Metin (former) check_circle

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