A Face Fairness Framework for 3D Meshes

11/22/2017
by   Sk. Mohammadul Haque, et al.
0

In this paper, we present a face fairness framework for 3D meshes that preserves the regular shape of faces and is applicable to a variety of 3D mesh restoration tasks. Specifically, we present a number of desirable properties for any mesh restoration method and show that our framework satisfies them. We then apply our framework to two different tasks --- mesh-denoising and mesh-refinement, and present comparative results for these two tasks showing improvement over other relevant methods in the literature.

READ FULL TEXT

page 2

page 9

page 13

page 14

page 15

research
08/13/2021

Construction of 4D Simplex Space-Time Meshes for Local Bisection Schemes

Adaptive mesh refinement is a key component of efficient unstructured sp...
research
06/15/2018

Mumford-Shah Mesh Processing using the Ambrosio-Tortorelli Functional

The Mumford-Shah functional approximates a function by a piecewise smoot...
research
11/06/2020

Highly Available Data Parallel ML training on Mesh Networks

Data parallel ML models can take several days or weeks to train on sever...
research
07/02/2021

Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks

This paper addresses mesh restoration problems, i.e., denoising and comp...
research
06/27/2014

Adaptive Mesh Representation and Restoration of Biomedical Images

The triangulation of images has become an active research area in recent...
research
03/14/2020

An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes

The 3D mesh is an important representation of geometric data. In the gen...
research
06/02/2021

Robust Voxelization and Visualization by Improved Tetrahedral Mesh Generation

When obtaining interior 3D voxel data from triangular meshes, most exist...

Please sign up or login with your details

Forgot password? Click here to reset