A general framework for constrained mesh parameterization

Vaitkus, Márton; Várady, Tamás

doi:10.1145/2788539.2788541

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Constrained by the piecewise-linear representation of the solution, boundary-fixed parameterization is far from the actual conformal demand. For more details on constrained mesh parameterization, please refer to the literature [36]. Thus further exploration on boundary-free has been carried on as follows.…”

Section: Background Knowledgementioning

confidence: 99%

Novel method of boundary-free mesh parameterization

et al. 2019

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Unless the targeted mesh is developable, metric distortion is inevitable during the process of surface mesh parameterization, thus one important objective of all involved parametric studies is to reduce the metric distortion. In order to further reduce area and angle distortion, a novel method of boundary-free mesh parameterization is presented in the paper. Firstly, the initial boundary-fixed conformal parameterization from 3D surface mesh patch to a plane is performed in the method. Then, based on the initial parameterization, the iterations of boundary-free quasi-harmonic parameterization are developed, where the tensor field is updated in each iterative step and the principal curvature direction is utilized to terminate the iteration. The solution of the novel method is convenient to calculate since it involves a series of linear systems. In our novel parameterization method, lower metric distortion and considerable efficiency have been obtained in experiments.

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Section: Background Knowledgementioning

confidence: 99%

Novel method of boundary-free mesh parameterization

et al. 2019

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“…Global parameterization (flattening) of complex 3D triangular meshes is an ill-posed problem. New parameterization techniques have been developed to align mesh curves and regions with prescribed geometric entities [84]. We also studied an important area of combinatorial geometry.…”

Section: Computer-aided Geometric Designmentioning

confidence: 99%

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2015

Vajk¹,

Harsányi

Poppe

et al. 2016

Period. Polytech. Elec. Eng. Comp. Sci.

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PrefaceThroughout László Vajta, Dean of BME VIK János Levendovszky, Deputy Dean of BME VIK Department of Automation and Applied InformaticsDepartment of Automation and Applied Informatics (AUT) is one of the largest and dynamically developing departments at BME with diverse scope competences such as control theory, embedded systems, software modelling, applied software development, Internet of Things, power electronics, mechatronics, and many others. The department's main activities are education, research and development. Training versatile electrical and software engineers with solid practical knowledge is our top priority. Our profile also includes developing high quality software and hardware solutions for industry partners. All of our activities are backed by strong research background.In 2015, the department has organized the 21 st European Wireless (EW) Conference. The EW 2015 conference hosted more than 140 participants from 30 different countries. The 2015 edition of EW was aimed at addressing a key theme on "5G and beyond."The next sections summarize the key research results of the department in year 2015. IoT and Smart CityThe Internet of Things (IoT) is transforming the surrounding physical objects into an ecosystem of information that enriches our everyday life. The IoT represents the convergence of advances in miniaturization, wireless connectivity, and increased data storage, and is driven by various sensors. Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. Our SensorHUB framework URBMOBI is a mobile environmental sensor that (i) provides temporally and spatially distributed environmental data, (ii) fulfills the need for monitoring at various places without the costs for a large number of fixed measurement stations, (iii) integrates small and precise sensors in a system that can be operated on buses, trams, or other vehicles, (iv) concentrates on urban heat and thermal comfort, and (v) aims at providing climate services and integration with real-time climate models.utilizes the state-of-the-art open source technologies and provides a unified tool chain for IoT related application and ser-URBMOBI project has been worked out between 2013 and 2015 by the following consortium: RWTH Aachen University (Germany), Netherlands Organization for Applied Scientific Research TNO (Netherlands), ARIA Technologies (France), Budapest University of Technology and Economics (Hungary), and Meteorological and Environmental Earth Observation (Italy).The SOLSUN (Sustainable Outdoor Lighting & Sensory Urban Networks) project is about to demonstrate how intelligent city infrastructure can be created in a cost-effective and sustainable way by reusing existing street lighting as the communications backbone. We apply different technologies and methods to reduce energy consumption at the same time as turning streetlights into nodes on a scalable network that is al...

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“…Lower limb kinetics can be estimated based on musculoskeletal models and ground force plates using inverse dynamics (Carbone et al, 2012;Galloway et al, 2012;Vaitkus and Várady, 2015;Bagwell et al, 2016). These techniques do not often account for patient-specific variability as they use scaled generic models (Worsley et al, 2011;Vaitkus and Várady, 2015), while it was already widely shown that the geometry of the musculoskeletal models is very sensitive to muscle force predictions (Carbone et al, 2012). In addition, and to the authors knowledge, the available studies merely consider very limited population samples which may not be representative of the total variability of the lower limb anatomy.…”

Section: Introductionmentioning

confidence: 99%

Statistical Modeling of Lower Limb Kinetics During Deep Squat and Forward Lunge

Roeck

Houcke

Almeida

et al. 2020

Front. Bioeng. Biotechnol.

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Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 1 April 2020 | Volume 8 | Article 233 De Roeck et al. Lower Limb Kinetic Models maximal-depth squat, this was 95.69% for the first 14 modes. Model accuracies will increase when including more principal components. Conclusion: Our model design was proved to be compact, accurate, and reliable. For models aimed at populations covering descriptive studies, the sample size must be at least 50.

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A general framework for constrained mesh parameterization

Cited by 3 publications

References 27 publications

Novel method of boundary-free mesh parameterization

Novel method of boundary-free mesh parameterization

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2015

Statistical Modeling of Lower Limb Kinetics During Deep Squat and Forward Lunge

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