Titlebook: Indonesia and Islam in Transition; Leonard C. Sebastian,Syed Huzaifah Bin Othman Alka Book 2024 The Editor(s) (if applicable) and The Auth

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lar parts, biplanar X-ray recordings of implanted radio-opaque markers are acquired. As manually locating these markers in the images is a very time-consuming task, our goal is to automate this process. Taking into account the difficulties in the recorded data such as missing detections or 2D occlus

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Leonard C. Sebastian,Syed Huzaifah Bin Othman Alkaffeld of image semantic segmentation, its impact on point cloud data has been limited so far. Recent attempts, based on 3D deep learning approaches (3D-CNNs), have achieved below-expected results. Such methods require voxelizations of the underlying point cloud data, leading to decreased spatial resol

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Leonard C. Sebastian,Syed Huzaifah Bin Othman Alkaffeld of image semantic segmentation, its impact on point cloud data has been limited so far. Recent attempts, based on 3D deep learning approaches (3D-CNNs), have achieved below-expected results. Such methods require voxelizations of the underlying point cloud data, leading to decreased spatial resol

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Leonard C. Sebastian,Syed Huzaifah Bin Othman Alkaffeld of image semantic segmentation, its impact on point cloud data has been limited so far. Recent attempts, based on 3D deep learning approaches (3D-CNNs), have achieved below-expected results. Such methods require voxelizations of the underlying point cloud data, leading to decreased spatial resol

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ion of the face descriptors. Since the view based methods have been found to yield higher recognition rates, methods for generating synthetic intermediate views are necessary when a dense set of real views is not given. In many important applications only one or two real views are available. When tw

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Leonard C. Sebastian,Syed Huzaifah Bin Othman Alkaffe correct articulation of such Descriptor Manifold (DM) by the camera poses is the cornerstone for precise Appearance-based Localization (AbL), which implies knowing the correspondent descriptor for any given pose of the camera in the environment. Since such correspondences are only given at sample