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Survey on sparsity in geometric modeling and processing
Techniques from sparse representation have been successfully applied in many areas like
digital image processing, computer vision and pattern recognition in the past ten years …
digital image processing, computer vision and pattern recognition in the past ten years …
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 …
A feature-preserving framework for point cloud denoising
Point cloud denoising has been an attractive problem in geometry processing. The main
challenge is to eliminate noise while preserving different levels of features and preventing …
challenge is to eliminate noise while preserving different levels of features and preventing …
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 guided by patch normal co-filtering via kernel low-rank recovery
Mesh denoising is a classical, yet not well-solved problem in digital geometry processing.
The challenge arises from noise removal with the minimal disturbance of surface intrinsic …
The challenge arises from noise removal with the minimal disturbance of surface intrinsic …
Rolling guidance normal filter for geometric processing
3D geometric features constitute rich details of polygonal meshes. Their analysis and editing
can lead to vivid appearance of shapes and better understanding of the underlying …
can lead to vivid appearance of shapes and better understanding of the underlying …
A robust scheme for feature-preserving mesh denoising
In recent years researchers have made noticeable progresses in mesh denoising, that is,
recovering high-quality 3D models from meshes corrupted with noise (raw or synthetic) …
recovering high-quality 3D models from meshes corrupted with noise (raw or synthetic) …
Static/dynamic filtering for mesh geometry
The joint bilateral filter, which enables feature-preserving signal smoothing according to the
structural information from a guidance, has been applied for various tasks in geometry …
structural information from a guidance, has been applied for various tasks in geometry …
Mesh denoising based on normal voting tensor and binary optimization
This paper presents a two-stage mesh denoising algorithm. Unlike other traditional
averaging approaches, our approach uses an element-based normal voting tensor to …
averaging approaches, our approach uses an element-based normal voting tensor to …
Tensor voting guided mesh denoising
Mesh denoising is imperative for improving imperfect surfaces acquired by scanning
devices. The main challenge is to faithfully retain geometric features and avoid introducing …
devices. The main challenge is to faithfully retain geometric features and avoid introducing …