Research on Triangular Mesh Simplification Algorithm of Virtual Object Model

2012 ◽  
Vol 271-272 ◽  
pp. 1410-1414 ◽  
Author(s):  
Yang Ping Wang ◽  
Jian Wu Dang ◽  
Jin Yu Yang ◽  
Song Wang
Keyword(s):  
Triangular Mesh ◽  
Mesh Simplification ◽  
Virtual Object ◽  
Object Model ◽  
Model Simplification ◽  
Model Quality ◽  
Weight Calculation ◽  
Edge Surface

To improve the model quality of mesh simplification, reduce the model deformation and the lost of the detail characteristics with multiple folding, the paper represents a triangular mesh simplification algorithm based on edge-surface folding. The algorithm introduces curvature characteristics of model vertexes into the weight calculation of effective points, and introduces weight of triangular facets at the same time. The facets with the smallest weight adjacent the candidate edge is shrunk. The experiment results show that the algorithm has provided a higher quality of model simplification and effectively kept the graphic features.

Mesh simplification algorithm based on edge curvature metrics and local optimization

2020 ◽  
Vol 11 (01) ◽  
pp. 1950042
Author(s):  
Jun Huang ◽  
Xiuhui Wang ◽  
Jun Wang
Keyword(s):  
Large Scale ◽  
Triangular Mesh ◽  
Small Error ◽  
Mesh Simplification ◽  
Mesh Model ◽  
Execution Speed ◽  
Edge Collapse ◽  
Approximate Measurement ◽  
Improved Algorithm

Aiming at the problem that the mesh simplification algorithm loses the geometric features of the model in large-scale simplification, an improved half-edge collapse mesh simplification algorithm is proposed. The concept of approximate measurement of edge curvature is introduced, and the edge curvature is added to the error measure, so that the order of half-edge collapse of the mesh is changed, and the simplified details of the mesh model can be preserved accurately. At the same time, by analyzing the quality of simplified triangular mesh, optimizing triangular mesh locally, reducing the amount of narrow triangles, the quality of the simplified model is improved. The proposed algorithm was tested on Cow model, Car model and Bunny model, and compared with another three algorithms, one of them is a classical mesh simplification algorithm based on edge collapse, the other is an improved algorithm of the classical one. The experimental results show that the improved algorithm can better retain the detail features of the original model at the same reduction ratio, and has reasonable mesh allocation, fast execution speed and small error.

MODEL MANAJEMEN MUTU MADRASAH KAJIAN DI MIN & MI MA’RIF PAGERAJI PURWOKERTO

2018 ◽  
Vol 19 (1) ◽  
pp. 74-105
Author(s):  
Rohmat Rohmat
Keyword(s):  
Quality Management ◽  
Quality Management System ◽  
Management Model ◽  
Teacher Competence ◽  
Model Quality ◽  
Community Environment ◽  
The Family ◽  
Quality Management Model ◽  
Community Cooperation

Abstract: The quality of madrasah education needs to get serious attention both from process aspect and its result. The quality of madrasah education is also influenced by the family and community environment. This brings with it the need for a review and mapping of the quality management model of education in Madrasah Ibtidaiyah. The Madrasah Ibtidaiyah of Purwokerto and MI Ma'arif Pageraji Purwokerto were chosen to be the subject of this study with the consideration that the school has a good quality management system. This study aims to find the typology of quality management education in MI that is effective so that it can be replicated. Based on the findings of the data, it can be concluded as follows: (1) Quality planning conducted in MIN and MI Ma’arif pageraji Purwokerto through (a) improvement of teacher competence, through OJT activity (on the job trainning), (b) teacher. (c) Development of natural competence matrix. (d) Parent and community cooperation in establishing some madrasah programs. (2) Quality control system conducted in MIN and MI Ma’arif pageraji Purwokerto done through supervision activities. (3) Quality assurance conducted in MIN and MI Ma’arif pageraji Purwokerto done internally by madrasah and audited through accreditation activities run by the accreditation bodies of madrasah or other institutions externally. Keywords: Management model, quality of madrasah.

scholarly journals A COMPARISON OF STRUCTURED LIGHT SCANNING AND PHOTOGRAMMETRY FOR THE DIGITISATION OF PHYSICAL PROTOTYPES

2021 ◽  
Vol 1 ◽  
pp. 11-20
Author(s):  
Owen Freeman Gebler ◽  
Mark Goudswaard ◽  
Ben Hicks ◽  
David Jones ◽  
Aydin Nassehi ◽  
...  
Keyword(s):  
Early Stage ◽  
Structured Light ◽  
Superior Performance ◽  
Specific Design ◽  
Model Quality ◽  
Stage Design ◽  
Design Changes ◽  
Structured Light Scanning ◽  
Early Stage Design

AbstractPhysical prototyping during early stage design typically represents an iterative process. Commonly, a single prototype will be used throughout the process, with its form being modified as the design evolves. If the form of the prototype is not captured as each iteration occurs understanding how specific design changes impact upon the satisfaction of requirements is challenging, particularly retrospectively.In this paper two different systems for digitising physical artefacts, structured light scanning (SLS) and photogrammetry (PG), are investigated as means for capturing iterations of physical prototypes. First, a series of test artefacts are presented and procedures for operating each system are developed. Next, artefacts are digitised using both SLS and PG and resulting models are compared against a master model of each artefact. Results indicate that both systems are able to reconstruct the majority of each artefact's geometry within 0.1mm of the master, however, overall SLS demonstrated superior performance, both in terms of completion time and model quality. Additionally, the quality of PG models was far more influenced by the effort and expertise of the user compared to SLS.

scholarly journals Cumulative Gains Model Quality Metric

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
Thomas Brandenburger ◽  
Alfred Furth
Keyword(s):  
Learning Process ◽  
Entire Range ◽  
Area Under The Curve ◽  
Decision Threshold ◽  
Model Quality ◽  
Model Learning ◽  
Quality Metric ◽  
Wide Range ◽  
Gains Model

This paper proposes a more comprehensive look at the ideas of KS and Area Under the Curve (AUC) of a cumulative gains chart to develop a model quality statistic which can be used agnostically to evaluate the quality of a wide range of models in a standardized fashion. It can be either used holistically on the entire range of the model or at a given decision threshold of the model. Further it can be extended into the model learning process.

scholarly journals Annual range of temperature and precipitation forecast for Altai-Sayan mountain country

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuriy Borisovich Kirsta ◽  
Olga Volfova Loucka
Keyword(s):  
Precipitation Forecast ◽  
Monthly Precipitation ◽  
Observation Data ◽  
Model Quality ◽  
Temperature And Precipitation ◽  
Annual Range ◽  
Weather Stations ◽  
Sayan Mountain ◽  
Mountain Country

Analysis and long-term forecasting of climatic characteristics of the mountains is laborious and extremely difficult due to complex vertical and horizontal differentiation of climatic fields and insufficient number of weather stations in the region. We have developed a method for statistical forecast of average monthly temperature in the surface air layer and monthly precipitation for the mountain areas with an annual lead time. The method is based on the description of monthly dynamics of the mentioned factors expressed in percent of their average annual monthly values measured in situ. Such a dynamics remains the same throughout the study territory, regardless of its height and exposure. To convert the relative values of temperature and precipitation into their conventional units of measurements (C and mm) one needs just mean annual January and July values of air temperature and precipitation for the territory under study. By the example of the Altai-Sayan mountain country, it is shown that the use of observation data for 67 years obtained from several reference weather stations ensure reliable prediction. The forecast is equally true for any part of the mountainous country due to spatial generalization of relative changes in these factors. The universal criterion A for assessing the quality of various predictive methods (including those, which do not use the model quality indices RSR and NashSutcliffe) is proposed. The criterion is the error of predictive method Sdiff normalized by standard deviation Sobs of observations from their average and equals to Sdiff/ Sobs. It is associated with NSE and RSR indices through dependencies RSR = A and NSE = 1RSR2 = 12A2. The proposed criterion was used in assessing the quality of temperature and precipitation forecasts; it was close to the theoretically best one for statistical prognoses.

scholarly journals Estimating local protein model quality: prospects for molecular replacement

2020 ◽  
Vol 76 (3) ◽  
pp. 285-290
Author(s):  
Björn Wallner
Keyword(s):  
Error Estimates ◽  
Added Value ◽  
Local Error ◽  
Molecular Replacement ◽  
Model Quality ◽  
Data Set ◽  
Protein Model ◽  
Protein Models ◽  
Local Protein

Model quality assessment programs estimate the quality of protein models and can be used to estimate local error in protein models. ProQ3D is the most recent and most accurate version of our software. Here, it is demonstrated that it is possible to use local error estimates to substantially increase the quality of the models for molecular replacement (MR). Adjusting the B factors using ProQ3D improved the log-likelihood gain (LLG) score by over 50% on average, resulting in significantly more successful models in MR compared with not using error estimates. On a data set of 431 homology models to address difficult MR targets, models with error estimates from ProQ3D received an LLG of >50 for almost half of the models 209/431 (48.5%), compared with 175/431 (40.6%) for the previous version, ProQ2, and only 74/431 (17.2%) for models with no error estimates, clearly demonstrating the added value of using error estimates to enable MR for more targets. ProQ3D is available from http://proq3.bioinfo.se/ both as a server and as a standalone download.

Sign in / Sign up

Export Citation Format

Share Document