搜索结果: 1-15 共查到“fitting”相关记录99条 . 查询时间(0.082 秒)
COMPARISON WITH ACCURACY OF TERRESTRIAL LASER SCANNER BY USING POINT CLOUD ALIGNED WITH SHAPE MATCHING AND BEST FITTING METHODS
laser scanning time of flight phase shift shape matching natural distributions Ostia
2019/3/4
Recently operation systems of laser scanning have been obviously improved; for instance shape matching has been equipped with software on a post processing stage so measurement without any targets is ...
ROBUST CYLINDER FITTING IN THREE-DIMENSIONAL POINT CLOUD DATA
Feature Extraction Geometric Shape Laser Scanning Object Recognition Pole Modelling Robust PCA Robust Regression Surface Fitting
2017/7/12
This paper investigates the problems of cylinder fitting in laser scanning three-dimensional Point Cloud Data (PCD). Most existing methods require full cylinder data, do not study the presence of outl...
FITTING A POINT CLOUD TO A 3D POLYHEDRAL SURFACE
Contactless measurement point clouds fitting Stretched Grid method Principal Component Analysis
2017/6/19
The ability to measure parameters of large-scale objects in a contactless fashion has a tremendous potential in a number of industrial applications. However, this problem is usually associated with an...
A SOLUTION TO LOW RFM FITTING PRECISION OF PLANETARY ORBITER IMAGES CAUSED BY EXPOSURE TIME CHANGING
Rational Function Model Planetary orbiter images Sensor correction Exposure time change
2016/11/8
In this paper, we propose a new solution to the low RFM fitting precision caused by exposure time changing using sensor correction. First, we establish a new rigorous geometric model, with the same ep...
Robust Algorithm for Fitting Sphere to 3D Point Clouds in Terrestrial Laser Scanning
Laser scanning Fitting Terrestrial photogrammetry
2015/12/16
Sphere target is one of the most important tools in terrestrial laser scanning. Different point clouds obtained form different views can
be transformed into the same coordinate system frame by using ...
Generation of Roof Topologies Using Plane Fitting with RANSAC
LIDAR RANSAC building reconstruction roof topology city models rule-based approach
2015/12/4
For the acquisition of Digital Surface Models (DSM), LIDAR has proven a reliable and accurate observation technique. In contrast to the generation of a Digital Terrain Model, which can be derived from...
Robust Shape Fitting and Semantic Enrichment
Algorithms Classifi cation Geometry Knowledge Base Mathematics Point Cloud Reconstruction Registration
2015/11/13
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
BOOSTING ALGORITHMS:REGULARIZATION,PREDICTION AND MODEL FITTING
Generalized linear models Generalized additive models Gradient boosting Survival analysis Variable selection Software
2015/8/21
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as we...
Comment:Boosting Algorithms:Regularization,Prediction and Model Fitting
Boosting Algorithms Regularization Prediction Model Fitting
2015/8/21
We congratulate the authors (hereafter BH) for an interesting take on the boosting technology, and for developing a modular computational environment in R for exploring their models. Their use of low-...
Selectivity, Scope, and Simplicity of Models:A Lesson From Fitting Judgments of Perceived Depth
Selectivity, Scope Simplicity Models Lesson Fitting Judgments Perceived Depth
2015/8/13
When comparing psychological models a researcher should assess their relative selectivity, scope,and simplicity. The third of these considerations can be measured by the models' parameter counts or eq...
On Perceptual Information and Fitting Models to Data:A Reply to Massaro and Cohen (1993)
Perceptual Information Fitting Models Data Massaro Cohen
2015/8/13
Cutting, Bruno, Brady, and Moore (1992) investigated the properties of Massaro's (1987) fuzzy-logical model of perception (FLMP) and other models. Among their results, they found that FLMP and an addi...
Tractable fitting with convex polynomials via sum-of-squares
Set data the sum of squares polynomial convex piecewise polynomial piecewise polynomial set
2015/8/10
We consider the problem of fitting given data(u1, y1),...,(um, ym) where ui ∈ Rn and yi ∈ R with a convex polynomial f. A technique to solve this problem using sum of squares polynomials is pres...
Convex piecewise-linear fitting
Convex optimization Piecewise-linear approximation Data fi tting
2015/8/10
We consider the problem of fitting a convex piecewise-linear function, with some specified form, to given multi-dimensional data. Except for a few special cases, this problem is hard to solve exactly,...
A distributed algorithm for fitting generalized additive models
Convex optimization Distributed optimization Generalized additive models
2015/8/7
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
3d Industrial Reconstruction by Fitting Csg Models to a Combination of Images and Point Clouds
Industrial Reconstruction Point Cloud Laser Scanning
2015/7/14
We present a method for 3D reconstruction of industrial sites using a combination of images and point clouds with a motivation of
achieving higher levels of automation, precision, and reliability. Re...