Techniques and challenges of image segmentation: A review
Y Yu, C Wang, Q Fu, R Kou, F Huang, B Yang, T Yang… - Electronics, 2023 - mdpi.com
Image segmentation, which has become a research hotspot in the field of image processing
and computer vision, refers to the process of dividing an image into meaningful and non …
and computer vision, refers to the process of dividing an image into meaningful and non …
[HTML][HTML] Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
Summary High-fidelity three-dimensional (3D) models of tooth-bone structures are valuable
for virtual dental treatment planning; however, they require integrating data from cone-beam …
for virtual dental treatment planning; however, they require integrating data from cone-beam …
2D/3D Image morphing technology from traditional to modern: A survey
J Lin, Y Gu, G Du, G Qu, X Chen, Y Zhang, S Gao… - Information …, 2024 - Elsevier
Image morphing technology is a crucial area in computer graphics and computer vision,
enabling various effects such as transformation, rotation, and deformation of 2D and 3D …
enabling various effects such as transformation, rotation, and deformation of 2D and 3D …
Low rank matrix approximation for 3D geometry filtering
We propose a robust normal estimation method for both point clouds and meshes using a
low rank matrix approximation algorithm. First, we compute a local isotropic structure for …
low rank matrix approximation algorithm. First, we compute a local isotropic structure for …
Mesh total generalized variation for denoising
Recent studies have shown that the Total Generalized Variation (TGV) is highly effective in
preserving sharp features as well as smooth transition variations for image processing tasks …
preserving sharp features as well as smooth transition variations for image processing tasks …
A novel structure adaptive algorithm for feature-preserving 3d mesh denoising
In this paper, we propose a novel algorithm for 3D mesh filtering (Structural Adaptive
Filtering, SAF) based on mesh structural adaptation. As we all know, 3D meshes mainly …
Filtering, SAF) based on mesh structural adaptation. As we all know, 3D meshes mainly …
Geometric and learning-based mesh denoising: a comprehensive survey
Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove
surface noise while preserving surface intrinsic signals as accurately as possible. While …
surface noise while preserving surface intrinsic signals as accurately as possible. While …
Mesh denoising via adaptive consistent neighborhood
In this paper, we propose a novel guided normal filtering followed by vertex updating for
mesh denoising. We introduce a two-stage scheme to construct adaptive consistent …
mesh denoising. We introduce a two-stage scheme to construct adaptive consistent …
MCnet: A Neural Network Method for Mean Curvature Optimization on Image Surfaces
Mean curvature is fundamentally important for various research fields, including differential
geometry in mathematics, cell membrane modeling in biophysics and image processing in …
geometry in mathematics, cell membrane modeling in biophysics and image processing in …
Ai-enabled automatic multimodal fusion of cone-beam ct and intraoral scans for intelligent 3d tooth-bone reconstruction and clinical applications
A critical step in virtual dental treatment planning is to accurately delineate all tooth-bone
structures from CBCT with high fidelity and accurate anatomical information. Previous …
structures from CBCT with high fidelity and accurate anatomical information. Previous …