搜索结果: 1-14 共查到“工学 Regularization”相关记录14条 . 查询时间(0.205 秒)
AUTOMATED DETECTION AND LAYOUT REGULARIZATION OF SIMILAR FEATURES IN INDOOR POINT CLOUD
Layout regularization Pattern detection Point cloud analysis Indoor modeling
2019/3/4
Automated identification of high-level structures in unorganized point cloud of indoor spaces Indoor space is an important aspect of scene analysis that provides essential information for many applica...
HIERARCHICAL REGULARIZATION OF POLYGONS FOR PHOTOGRAMMETRIC POINT CLOUDS OF OBLIQUE IMAGES
2D Polygon Regularization Normal Reconstruction Global Optimization
2017/7/12
Despite the success of multi-view stereo (MVS) reconstruction from massive oblique images in city scale, only point clouds and triangulated meshes are available from existing MVS pipelines, which are ...
EXTENDING LKN CLIMATE REGIONALIZATION WITH SPATIAL REGULARIZATION:AN APPLICATION TO EPIDEMIOLOGICAL RESEARCH
Remote Sensing Geographic Information Systems Environmental Health Climate Classification Geospatial Statistics
2016/11/30
Regional climate is a critical factor in public health research, adaptation studies, climate change burden analysis, and decision support frameworks. Existing climate regionalization schemes are not w...
AUTOMATIC EXTRACTION AND REGULARIZATION OF BUILDING OUTLINES FROM AIRBORNE LIDAR POINT CLOUDS
Buildings Outlines Algorithm LiDAR Extraction Regularization
2016/7/27
Building outlines are needed for various applications like urban planning, 3D city modelling and updating cadaster. Their automatic reconstruction, e.g. from airborne laser scanning data, as regulariz...
An Implicit Geometric Regularization of 3D Building Shape Using Airborne LIDAR Data
LIDAR Building Edge Incremental Generalization Reconstruction
2015/12/4
The prime objective of this paper is to develop a new method for regularizing noisy building outlines extracted from airborne LiDAR data. For the last few decades, a lot of research efforts have been ...
Regularization for Matrix Completion
Noise low rank matrix computer vision signal processing
2015/8/21
We consider the problem of reconstructing a low rank matrix from noisy observations of a subset of its entries. This task has applications in statistical learning, computer vision, and signal processi...
Smoothed state estimates under abrupt changes using sum-of-norms regularization
State estimation Impulsive disturbance Load disturbance Smoothing Sparsity Regularization Change detection
2015/8/7
The presence of abrupt changes, such as impulsive and load disturbances, commonly occur in applications,but make the state estimation problem considerably more difficult than in the standard setting w...
Super-resolution via Transform-invariant Group-sparse Regularization
Super-resolution Transform-invariant Group-sparse
2015/6/17
We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edge...
Learning Image Vicept Description via Mixed-Norm Regularization for Large Scale Semantic Image Search
Vicept Description via Mixed-Norm Regularization Large Scale
2013/7/24
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...
Novel Method for Selection of Regularization Parameter in the Near-field Acoustic Holography
acoustic holography (NAH) regularization parameter selection
2011/8/4
Because of the illposedness of the nearfield acoustic holography (NAH), the regularization method is required to stabilize the computational process of NAH. The regularization effect is related to how...
Asymptotic Principal Values and Regularization Methods for Correlation Functions with Reflective Boundary Conditions
asymptotic principal values correlation functions singular integrals
2011/4/21
We introduce a concept of asymptotic principal values which enables us to handle rigorously singular integrals of higher-order poles encountered in the computation of various quantities based on corre...
Enhanced Radar Imaging in Uncertain Environment: A Descriptive Experiment Design Regularization Approach
Radar Imaging Uncertain Environment Experiment Design Regularization Approach
2009/9/3
A new robust technique for high-resolution reconstructive imaging is developed as required for enhanced remote sensing (RS) with imaging array radar or/and synthetic aperture radar (SAR) operating in ...
Analytical regularization method for electromagnetic wave diffraction by axially symmetrical thin annular strips
Analytical Regularization Annular Strips Antenna
2009/7/28
A new mathematically rigorous and numerically efficient method based on the combination of Orthogonal
Polynomials Method, and Analytical Regularization Method, for electromagnetic wave diffraction by...
Scalar Wave Diffraction by Perfectly Soft Thin Circular Cylinder of Finite Length; Analytical Regularization Method
Scalar Wave Diffraction Perfectly Soft Thin Circular Cylinder Analytical Regularization Method
2009/7/28
A new mathematically rigorous and numerically effective method for solving the boundary value problem of scalar wave diffraction by an infinitely thin circular cylindrical screen of finite length is p...