Metaverse has been attracting more and more attention because of its potential for various use cases. In metaverse applications, the seamless integration of digital and physical worlds is vital for synchronizing infor...
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ISBN:
(纸本)9798350374490;9798350374506
Metaverse has been attracting more and more attention because of its potential for various use cases. In metaverse applications, the seamless integration of digital and physical worlds is vital for synchronizing information from one world to another. One way to achieve this is to reconstruct 3D environmental maps every time, which is not feasible due to computational complexity. A cheaper alternative is to detect what objects have changed and update only the changed objects. To build the foundation of the change detection algorithm for that, in this paper, we propose a change detection method combined with object classification. Despite its simplicity, the experiment showed promising results with an object detector fine-tuned with data from the target environment. Furthermore, with our clustering-based post-processing, false positives produced by the frame-wise change detection were observed to be successfully suppressed.
In the fusion process of brain medical image, to improve the clinical diagnosis accuracy, the salient features and details of different modes medical images are generated a comprehensive image. In this paper, we prese...
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ISBN:
(纸本)9781450372626
In the fusion process of brain medical image, to improve the clinical diagnosis accuracy, the salient features and details of different modes medical images are generated a comprehensive image. In this paper, we present a fusion scheme for computed tomography (CT) and magnetic resonance (MR) images based on image decomposition and low rank representation. There are three main steps. Firstly, the cartoon and texture contents of CT and MR images are obtained by the improved decomposition method using global sparse gradients. Secondly, the cartoon contents are fused using the energy preservation and detail extraction rules. The texture contents are fused using low rank representation theory and choose-max strategy. Finally, the fused image is obtained by superimposing the fused cartoon and texture content. The experimental results demonstrate that the proposed method outperforms the state-of-the-art method sparse representation (SR) and traditional multi-scale transform methods (MST) in terms of visual effect and objective quality.
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