Introduction to graph signal processing
Graph signal processing deals with signals whose domain, defined by a graph, is irregular.
An overview of basic graph forms and definitions is presented first. Spectral analysis of …
An overview of basic graph forms and definitions is presented first. Spectral analysis of …
Review of Three-Dimensional Model Simplification Algorithms Based on Quadric Error Metrics and Bibliometric Analysis by Knowledge Map
H Chang, Y Dong, D Zhang, X Su, Y Yang, I Lee - Mathematics, 2023 - mdpi.com
With the rapid advancement of computer graphics and three-dimensional modeling
technology, the processing and optimization of three-dimensional (3D) models have …
technology, the processing and optimization of three-dimensional (3D) models have …
Polygonal simplification and its use in DEM generalization for land surface segmentation
R Feciskanin, J Minár - Transactions in GIS, 2021 - Wiley Online Library
We introduce a simplification method based on irregular triangular networks to create a
generalized digital elevation model (DEM) for land surface segmentation. The quadric error …
generalized digital elevation model (DEM) for land surface segmentation. The quadric error …
Graph-based wavelet multiresolution modeling of multivariate terrain data
T Cioacă, B Dumitrescu, MS Stupariu - Vertex-Frequency Analysis of …, 2019 - Springer
Terrain data pose modeling challenges due to their high inherent redundancy and difficulty
of identifying features at different levels of detail. We propose a multiresolution analysis …
of identifying features at different levels of detail. We propose a multiresolution analysis …
[PDF][PDF] Lazy wavelet simplification using scale-dependent dense geometric variability descriptors
T Cioaca, B Dumitrescu, MS Stupariu - Journal of Control Engineering …, 2017 - ceai.srait.ro
Partitioning geometric data into two sets, one corresponding to high frequencies and the
other to low frequencies, is a critical operation in the second generation wavelet …
other to low frequencies, is a critical operation in the second generation wavelet …
[PDF][PDF] Riemannian Filters for Multi-variate Mesh Signals.
T Cioaca, B Dumitrescu… - VISIGRAPP (1 …, 2017 - pdfs.semanticscholar.org
Designing filters over irregular non-Euclidean domains requires algorithms that take into
account the intrinsic curvature of these domains. We propose a new filtering method based …
account the intrinsic curvature of these domains. We propose a new filtering method based …
[PDF][PDF] Combined quadric error metric and lifting scheme multivariate model simplification
T Cioaca, B Dumitrescu, MS Stupariu - UPB Sci. Bull. Ser. C, 2016 - scientificbulletin.upb.ro
The quadric error metric incremental simplification process involves two stages: cost
computation and vertex estimation. In this work, we replace the latter through the use of a …
computation and vertex estimation. In this work, we replace the latter through the use of a …