4 results about "Fuzzy graph" patented technology

This invention proposes a dynamic scene deblurring method and system based on 4D Gaussian representation and pseudo-ground value supervision. The method includes: obtaining a sharp image and a rendered depth map from a 4D Gaussian representation; predicting the motion velocity of dynamic pixels using a velocity MLP network based on the rendered depth map; constructing a fuzzy weight network and predicting the contribution weight of each sampling point on the sampling trajectory; fusing the pseudo-sharp image with the original blurred input using a dynamic region mask to obtain a hybrid pseudo-ground value image; synthesizing a physically blurred image through weighted integration; and constructing a dual-domain reconstruction loss and geometry-motion regularization constraints by combining hybrid pseudo-ground value supervision and gradient decoupling strategies to jointly optimize the scene representation, motion parameters, and fuzzy model, thereby obtaining a sharp dynamic scene representation. This invention achieves explicit modeling of the physical blurring process through 4D Gaussian representation and a fuzzy weight network, improving the realism and view consistency of motion blur synthesis.

The application provides a scanning file fuzzy retrieval self-adaptive splicing method, and relates to the technical field of document digitization and computer vision. The method comprises the following steps: obtaining a plurality of fuzzy image blocks obtained by non-fixed block scanning of a long document by a mobile terminal, wherein the long document comprises a layout structure composed of text lines and lines; performing local fuzzy retrieval on each fuzzy image block to extract local features of each image block, and determining an initial pose relationship and an overlapping area between the image blocks according to the local feature matching; determining a local rigid texture primitive in the overlapping area of each image block; performing preliminary splicing on the plurality of fuzzy image blocks according to the initial pose relationship and the overlapping area to obtain a preliminary splicing image, and determining a global topological constraint manifold feature point in the preliminary splicing image. The application can realize accurate splicing of fuzzy image blocks and layout structure restoration.

The application discloses a mine coal mining face low-quality fuzzy image super-resolution reconstruction method, comprising the following steps: S1, inputting a low-resolution mine image and extracting multi-receptive field feature information of the image; S2, for the multi-receptive field feature, using a multi-dimensional collaborative covariant feature weighted adaptive residual group to carry out high-frequency feature fusion processing, realizing lightweight weighted adaptive collaborative feature fusion; S3, for the fused features, carrying out multi-receptive field feature fusion and up-sampling processing, realizing high-resolution mine image reconstruction, and finally outputting mine image super-resolution reconstruction results; and the reconstruction system is also disclosed, comprising a mine image acquisition module, a pretreatment module, a feature extraction and coding module, a multi-dimensional collaborative covariant modeling module, a super-resolution reconstruction module and a reconstructed image evaluation and feedback module. The application can realize the improvement of image definition, meanwhile, the lightweight of the model structure is maintained, and the dual requirements of calculation resources and processing effect under the mine environment are met.