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"We begin to change the part hierarchies of objects in indoor scenes and investigate their effects on scene understanding models. " More specifically, we use a sparse U-Net-based architecture that mimics the fine-scale detail of the underlying 3D scan geometry by leveraging a multi-scale feature hierarchy. ".
"This contribution includes a streamlined data pipeline to bring medical 3D scans to Augmented Reality hardware. " Depth information is lost when a 3D scan is presented on a 2D screen, and doctors must rely on their experience to map the patient's appearance. As one can see the scan in real 3D, showing such a scan in AR addresses the issue. The scan produced by a medical scanner must be preprocessed by the user and brought into AR equipment to achieve this. After which both the scan and segment are stored on a server, the scan can be interactively segmented by the user. "In a user study, we evaluate our streamlined data pipeline and AR application, detailing the results of a system usability questionnaire and a Thinking Aloud test. ".
Every year, dental clinics treat thousands of dental reconstructions. The present work extends the generalization of the existing deep learning segmentation scheme on 3D dental arches by adding a new loss function to utilize unlabeled available data. In the case of no available labeled data, it is concluded that combining representations obtained from self-supervised learning with supervised learning enhances the generalization of the 3D tooth segmentation model.
"When determining the measurement of the reference marks' geometric parameters, two options of their incorporation on the panels of the telescope's main mirror are considered: option 1, reference marks from option 1 are supplemented by miniature rotating mirrors, according to option 1. "Mini mirrors" make it possible to turn the measuring beam so that through the mirror it is possible to determine the geometric characteristics of the reference marks, which are attached to the main mirror's adjacent panels.
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