In this paper, we present an adaptive and propagated mesh filtering algorithm, which utilizes the common two-stage mesh denoising architecture. In the first stage, face normals are filtered by calculating cumulative differences of two kinds of ...

• Our method respects the spatial structure of mesh through using intrinsic metrics.
• Face normals are filtered by calculating cumulative differences of properties.
• The parameters in the weight strategy can be fully determined ...

Owing to the complex water environment, the acoustic point-cloud model formed by the detection method based on acoustic reflection mechanism is inevitably disturbed by the noise, which seriously affects the reconstruction effect of the underwater ...

Motivated by the success in image processing, the Mumford–Shah functional has attracted extensive attentions in geometry processing. Existing methods, mainly focusing on discretizations on the triangulated mesh, either over-smooth sharp features ...

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• We present a feature-preserving normal filter using nonsmooth nonconvex Mumford–Shah regularization.
• We propose a method for vertex updating by incorporating both the oriented normal constraints and the discontinuity function.
• We ...

A wide increase of 3D applications for using mobile phones and other electrical devices reveals the importance of 3D mesh representation. Since visualization and implementation of a coarse and simplified mesh are easier than analyzing a high-...

Existing position based point cloud filtering methods can hardly preserve sharp geometric features. In this paper, we rethink point cloud filtering from a non-learning non-local non-normal perspective, and propose a novel position ...

• A non-learning non-local non-normal approach for feature-preserving point cloud filtering.

• We propose a novel cascaded framework to reconstruct 3D faces with subtle details.

Despite tremendous success has been achieved in faithfully reconstructing face shapes from single images, recovering accurate local details still remains challenging. Previous works propose reprojection-based methods to improve the ...

In order to robustly perform tasks based on 3D data model, we propose a feature-preserving mesh denoising algorithm based on the face classification. In the proposed algorithm, the sharp features which play a key role in 3D models are kept unchanged ...

• A new approach to restore images acquired from underwater scenes.
• The approach ...

In this paper, we present a novel method to restore the visual quality of images from scenes immersed in participating media, in particular water. Our method builds upon existing physics-based model and estimates the scene radiance by ...

3D point clouds have become increasingly popular in recent year due to the rapid development of low-cost 3D sensors. One of the most interesting challenges is to filter point cloud, which undoubtedly becomes a crucial part of the point cloud processing ...

In this paper, a robust algorithm is proposed for reconstructing 2D curve from unorganized point data with a high level of noise and outliers. By constructing the quadtree of the input point data, we extract the ''grid-like'' boundaries of the quadtree, ...

Feature-preserving filtering is a fundamental tool in computer vision and graphics, which can smooth input signal while preserving its sharp features. Recently, a piecewise smooth model called L"0 gradient minimization, has been proposed for feature-...

A method of triangular surface mesh smoothing is presented to improve angle quality by extending the original optimal Delaunay triangulation (ODT) to surface meshes. The mesh quality is improved by solving a quadratic optimization problem that minimizes ...

Despite its great success in improving the quality of a tetrahedral mesh, the original optimal Delaunay triangulation (ODT) is designed to move only inner vertices and thus cannot handle input meshes containing ''bad'' triangles on boundaries. In the ...

In this paper, we propose a novel method for feature-preserving mesh denoising based on the normal tensor framework. We utilize the normal tensor voting directly for the mesh denoising whose eigenvalues and eigenvectors are used for detecting saliency, ...

In this paper, we propose an automatic hole-filling method, particularly for recovering missing feature curves and corners. We first extract the feature vertices around a hole of a CAD model and classify them into different feature sets. These feature ...

Seismic volume datasets are usually obtained in 32-bit floating point precision, which makes them difficult to be processed on commodity computer due to their large size and high dynamic range (HDR). In this paper, we present a novel quantization method ...

We present an optimized algorithm to compute 3D distance fields using the bilinear interpolation capabilities of GPUs while preserving the features of the model. For a geometric model, our algorithm computes the Euclidean distance fields on each 2D ...

We describe a combination of algorithms for high-fidelity geometric modeling and mesh generation. Although our methods and implementations are application-neutral, our primary target application is multiscale biomedical models that range in scales ...