Articles with "dense matching" as a keyword



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FDM: fast dense matching based on sparse matching

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Published in 2020 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-019-01552-y

Abstract: Dense matching is the basis for many advanced image processing algorithms such as 3D reconstruction, super-resolution reconstruction, and image fusion. However, it has several limitations in speed and accuracy; the main aspects affecting the practicality… read more here.

Keywords: sparse matching; neighbourhood; dense; based sparse ... See more keywords
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High resolution non-rigid dense matching based on optimized sampling

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.07.076

Abstract: Abstract A high resolution dense matching algorithm is presented for non-rigid image feature matching in the paper. For high resolution non-rigid images, telephoto lens is helpful in capturing fine scale features like cloth fold, pigmentation… read more here.

Keywords: high resolution; image; dense; non rigid ... See more keywords
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Quasi-Dense Matching Algorithm for Close-Range Image Combined With Feature Line Constraint

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3220328

Abstract: Point-based sparse or dense matching can typically obtain satisfactory 3D point clouds of general contour features, but the deformation problem at the edges of artificial objects is prominent. Thus, to ensure the regularity of straight… read more here.

Keywords: feature line; quasi dense; constraint; dense matching ... See more keywords
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Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration.

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Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2023.3265531

Abstract: Point cloud registration is a fundamental problem in 3D computer vision. Previous learning-based methods for LiDAR point cloud registration can be categorized into two schemes: dense-to-dense matching methods and sparse-to-sparse matching methods. However, for large-scale… read more here.

Keywords: dense matching; point cloud; dense; lidar point ... See more keywords