Results 251 to 260 of about 8,406,664 (294)

Multi-scale decomposition of point process data

GeoInformatica, 2012
To automatically identify arbitrarily-shaped clusters in point data, a theory of point process decomposition based on kth Nearest Neighbour distance is proposed. We assume that a given set of point data is a mixture of homogeneous processes which can be separated according to their densities.
Tao Pei, Jianhuan Gao, Ting Ma 0002, Chenghu Zhou   +3 more
openaire   +2 more sources

Saliency analysis based on multi-scale wavelet decomposition

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
In this paper, an efficient saliency analysis method based on multi-scale wavelet analysis is proposed, which can be used for car detection in intelligent transportation applications. In our method, saliency regions are considered as abnormal parts in a normal background; the wavelet theory is then used to detect these abnormal parts.
Xiaolong Ma, Xudong Xie, Kin-Man Lam 0001, Yi Zhang 0029   +3 more
openaire   +1 more source

Graph signal decomposition for multi-scale detail manipulation

2014 IEEE International Conference on Image Processing (ICIP), 2014
In this paper we introduce a new unified framework for multi-scale detail manipulation of graph signals. The key to this unification is to model any kind of data as signals defined on appropriate weighted graphs. Graph signals are represented as the sum of successive layers, each capturing a given scale of detail.
Moncef Hidane, Olivier Lézoray, Abderrahim Elmoataz   +2 more
openaire   +1 more source

Multi-scale Curve Decomposition Based on Alpha-Shape

2011 Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011
In cartography curve simplification is a recurrent problem. The purpose is to remove irrelevant details while emphasizing the main features of the curve. Decomposition of curve is preprocessing of curve simplification. Most of the current techniques belong to the spatial domain (least square method, active contour, point selection).
Zhuangzhi Wu, Lu Feng 0003
openaire   +1 more source

Blowing Bubbles for Multi-Scale Analysis and Decomposition of Triangle Meshes

Algorithmica, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michela Mortara, Giuseppe Patané, Michela Spagnuolo, Bianca Falcidieno, Jarek Rossignac   +4 more
openaire   +5 more sources

Spectral decomposition for graded multi-scale topology optimization

Computer Methods in Applied Mechanics and Engineering, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tej Kumar, Saketh Sridhara, Bhagyashree Prabhune, Krishnan Suresh   +3 more
openaire   +1 more source

Image selective restoration using multi-scale variational decomposition

Journal of Visual Communication and Image Representation, 2016
Display Omitted A single-parameter (BV, G, L2) variational decomposition functional is proposed.Theoretical analysis of the relationship between the parameter and the scales.A multi-scale variational decomposition is proposed.Image selective restoration using the multi-scale variational decomposition.
Liming Tang, Fang Zhuang, Shiqiang Chen   +2 more
exaly   +3 more sources

Multi-scale proper orthogonal decomposition (mPOD)

AIP Conference Proceedings, 2018
We propose a novel data-driven decomposition referred to as Multi-scale Proper Orthogonal Decomposition (mPOD). This decomposition combines Multi-resolution Analysis (MRA) via Discrete Wavelet Transform (DWT) and Proper Orthogonal Decomposition (POD).
Mendez, Miguel Alfonso, Balabane, Mikhael, Buchlin, Jean Marie   +2 more
openaire   +2 more sources

Effective shadow removal via multi-scale image decomposition

The Visual Computer, 2019
Shadow removal is a fundamental and challenging problem in image processing field. Current approaches can only process shadows with simple scenes. For complex texture and illumination, the performance is less impressive. In this paper, we propose a novel shadow removal algorithm based on multi-scale image decomposition, which can recover the ...
Ling Zhang 0017, Qingan Yan, Yao Zhu, Xiaolong Zhang 0002, Chunxia Xiao   +4 more
openaire   +2 more sources

Intrinsic Image Decomposition Using Multi‐Scale Measurements and Sparsity

Computer Graphics Forum, 2016
AbstractAutomatic decomposition of intrinsic images, especially for complex real‐world images, is a challenging under‐constrained problem. Thus, we propose a new algorithm that generates and combines multi‐scale properties of chromaticity differences and intensity contrast.
Shouhong Ding, Bin Sheng 0001, Xiao-Nan Hou, Zhifeng Xie, Lizhuang Ma   +4 more
openaire   +1 more source