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Titlebook: Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications; 6th International Co Reneta P. Barneva,Vale

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List of symbols and abbreviations,the concepts of a 2D-simplifier point and a weak-3D-simplifier point, rechecking of some ‘survival’ points is not needed. In this work an implementation scheme is reported for sequential thinning algorithms, and it is shown that the proposed method can be twice as fast as the conventional approach in the 2D case.
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List of symbols and abbreviations,manufactories and workshops. We propose a fully convolutional architecture of neural network which allows the full GPU implementation. We provide results obtained on our custom dataset based on ImageNet and other common datasets, like COCO or PascalVOC. We also compare the proposed method with other . object detectors.
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Applying Computational Geometry to Designing an Occlusal Splintn the maxilla and the mandible involves: creating partial surfaces, integrating them, and producing the splint on a 3D printer. The paper presents and compares some techniques used to design splint surfaces under a required therapeutic maxilla-mandible relation.
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List of symbols and abbreviations,order immersed boundary technique. This allows for avoiding the challenging task of surface fitting and mesh generation, simplifying the image-based analysis pipeline drastically. We demonstrate by a numerical example how the proposed method can be applied in the context of linear elastostatic analysis of solids.
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