Diffusionnet: Discretization agnostic learning on surfaces
We introduce a new general-purpose approach to deep learning on three-dimensional
surfaces based on the insight that a simple diffusion layer is highly effective for spatial …
surfaces based on the insight that a simple diffusion layer is highly effective for spatial …
A comprehensive overview of methodologies and performance evaluation frameworks in 3D mesh segmentation
P Theologou, I Pratikakis, T Theoharis - Computer Vision and Image …, 2015 - Elsevier
Abstract 3D mesh segmentation has become a crucial part of many applications in 3D shape
analysis. In this paper, a comprehensive survey on 3D mesh segmentation methods is …
analysis. In this paper, a comprehensive survey on 3D mesh segmentation methods is …
Graph spectral image processing
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals
that live naturally on irregular data kernels described by graphs (eg, social networks …
that live naturally on irregular data kernels described by graphs (eg, social networks …
A survey on shape correspondence
We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …
represented by triangle meshes, contours or point sets. This survey is motivated in part by …
State of the art in methods and representations for fabrication‐aware design
AH Bermano, T Funkhouser… - Computer Graphics …, 2017 - Wiley Online Library
Computational manufacturing technologies such as 3D printing hold the potential for
creating objects with previously undreamed‐of combinations of functionality and physical …
creating objects with previously undreamed‐of combinations of functionality and physical …
[图书][B] Discrete calculus: Applied analysis on graphs for computational science
LJ Grady, JR Polimeni - 2010 - Springer
The field of discrete calculus, also known as" discrete exterior calculus", focuses on finding a
proper set of definitions and differential operators that make it possible to operate the …
proper set of definitions and differential operators that make it possible to operate the …
3D face reconstruction with geometry details from a single image
3D face reconstruction from a single image is a classical and challenging problem with wide
applications in many areas. Inspired by recent works in face animation from RGB-D or …
applications in many areas. Inspired by recent works in face animation from RGB-D or …
Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering
We introduce an algorithm for unsupervised co-segmentation of a set of shapes so as to
reveal the semantic shape parts and establish their correspondence across the set. The …
reveal the semantic shape parts and establish their correspondence across the set. The …
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit
H Deng, Y Zheng, J Chen, S Yu, K Xiao… - Computers & Geosciences, 2022 - Elsevier
Abstract Three-dimensional (3D) geological models are typical data sources in 3D mineral
prospectivity modeling. However, identifying prospectivity-informative predictor variables …
prospectivity modeling. However, identifying prospectivity-informative predictor variables …
[图书][B] Digital signal processing with Kernel methods
A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …
processing algorithms, with application to communications, multimedia, and biomedical …