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- W4288388619 abstract "Digital product definition (DPD) has experienced the development from two-dimensional (2D) to three-dimensional (3D). Recently, the experience of domestic and foreign manufacturing industries has shown that the product model defined by 3D digitalization has matured, and its benefits have been repeatedly verified. Panoramic Image is a fundamental technique to reflect the real-world scenario in the form of a 360-degree image, providing an immersive experience to users. However, observers may be only interested in part of 360-degree images and neglect other parts. Visual saliency analysis becomes essential to understanding user behavior. Saliency in the image represents the region that attracts human attention to certain areas of the image. The approach to extracting the areas and information that users are concerned about from pictures has gradually become a challenge in computer vision. Visual saliency analysis can effectively utilize computer resources to allocate bits to the more critical pixels in the image. Different from regular plane pictures, panoramic pictures contain more visual information about the real-world scenario. Images from other angles are actually projected onto a plane, which may cause severe distortion of plane panoramic images via projection conversion. It will cause serious distortion if the segmentation obtained by the saliency prediction model is directly spliced. Herein, we propose a novel panoramic image Mosaic method based on the Truncated Square Pyramid Projection scheme (TSP). Simulation results show the effectiveness of the proposed scheme." @default.
- W4288388619 created "2022-07-29" @default.
- W4288388619 creator A5007976498 @default.
- W4288388619 date "2022-07-15" @default.
- W4288388619 modified "2023-09-28" @default.
- W4288388619 title "Digital Twin Oriented Visual Saliency Analysis on 360-Degree Panoramic Image" @default.
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- W4288388619 doi "https://doi.org/10.1109/iceiec54567.2022.9835071" @default.
- W4288388619 hasPublicationYear "2022" @default.
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