Novel re-parameterization for shape optimization and comparison with knot-based gradient fitting method

Ćurković, Milan; Ćurković, Andrijana; Vučina, Damir

doi:10.1016/j.cma.2018.03.018

Cited by 4 publications

(4 citation statements)

References 28 publications

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“…Clusters #4-#6 have the same number of authors-twenty-five-as a critical literature review, geometry parametrisation, and heritage place-data-driven conservation action with major citing articles by Barazzetti (2016), Safari et al (2013), and Bolognesi and Fiorillo (2023) [38][39][40]. The other groups, #7-#13, are working on the rectangular domain, 3D surface, a repair method of a point cloud with a big hole, direct boolean intersection, as-built modelling, nature-inspired optimisation approaches, and improvement in the 3D digitisation processa reverse engineering process again [37,[39][40][41][42][43][44]. Results indicate three main thematic groups authors have gathered around: (1) historical or heritage modelling (archaeological heritagewooden ornamentation, heritage place, and reverse engineering), (2) technologies and processes dealing with geometry (geometry modelling, geometry parametrisation), and…”

Section: Clusters Of Authorsmentioning

confidence: 99%

“…Additionally, there is also a significant number of authors belonging to "a critical literature review" theme, pointing out that the field already reached mature status. rectangular domain, 3D surface, a repair method of a point cloud with a big hole, direct boolean intersection, as-built modelling, nature-inspired optimisation approaches, and improvement in the 3D digitisation process-a reverse engineering process again [37,[39][40][41][42][43][44]. Results indicate three main thematic groups authors have gathered around: (1) historical or heritage modelling (archaeological heritage-wooden ornamentation, heritage place, and reverse engineering), ( 2) technologies and processes dealing with geometry (geometry modelling, geometry parametrisation), and (3) the industry application of technologies (CNC machining, reverse engineering process; see [45,46]).…”

Section: Clusters Of Authorsmentioning

confidence: 99%

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Trends, Problems, and Solutions from Point Cloud via Non-Uniform Rational Basis Spline to Building Information Modelling: Bibliometric and Systematic Study

Stober,

Raguz-Lucic

2024

Buildings

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Building Information Modelling (BIM) has found applications not only in the planning and designing of new buildings but also in project monitoring, record-keeping, and analyses of existing structures. In addition to its primary application, information modelling spreads to other areas, developing solutions for their specific uses. This study engaged a mixed-method literature review according to the extent of the pool of knowledge for two research steps between three concepts—from point cloud to NURBS and then from NURBS to BIM. In the first step, the keywords point cloud and NURBS were analysed using scientometric methods. In the second step, a systematic analysis of the content of works obtained with the keywords NURBS and BIM is presented, extracting problems and proposed solutions for information transfer technology. The results of a quantitative analysis identified major trends, (1) research is distributed in interdisciplinary and multidisciplinary areas and historical (heritage) modelling is the highlighted one, (2) development of technologies for object surveying, and (3) the application of data in different engineering fields, while a qualitative analysis points at problems in (1) model building, (2) interoperability, and (3) automatization. Solutions such as mixed models, multi-layered models, a mix of formats, or bridging elements (semantics, proto-model) are proposed.

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Section: Clusters Of Authorsmentioning

confidence: 99%

Section: Clusters Of Authorsmentioning

confidence: 99%

Trends, Problems, and Solutions from Point Cloud via Non-Uniform Rational Basis Spline to Building Information Modelling: Bibliometric and Systematic Study

Stober,

Raguz-Lucic

2024

Buildings

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“…In this paper we describe the implications for fitting a parametric model to a scanned 3D model with different surface topologies. A brief introduction to the creation of a parametric NURBS model is given in this paper, while detailed information can be found in (Ćurković et al, 2017;Ćurković et al, 2018;Ćurković & Vučina, 2014). The work shows that the fit of the parametric model in the case of a free-form surface topology (original triangulation) depends on the density of the triangulation mesh and, also on the distribution of vertices in the surface mesh.…”

Section: Introductionmentioning

confidence: 99%

Difference in Surface Fitting With Standard and Matrix Topology

Ćurković,

Ćurkovic,

Vučina

2024

mijst

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This paper presents the impact of the surface topology of the scanned 3D object on parametric fitting. Whether it is a simple NURBS (Non-uniform rational B-spline) or a more complex hierarchical spline version, it is important to apply the fitting procedure. Here we describe the differences between fitting a surface with a given topology as a result of a 3D scanning system and a matrix topology of the surface, where the original surface is replaced by the result of a preset number of sections of the original geometry. We use the matrix and the free-form distribution. The former is more stable with respect to the distribution of the control point, the latter is numerically more suitable. In the future, we plan to adopt the free-form distribution to utilize the advantages of both distributions.

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“…Kim ( Kim et al., 2017 ) proposed a shape distribution-based 3D CAD assembly comparison method, which can enable a comprehensive comparison of 3D CAD assembly models. Curkovic ( Ćurković et al., 2018 ) studied a re-distribution method of the matrix representation of the geometry and proposed a redistribution of the matrix representation of the 3D geometry based on shape features. Xie ( Xie et al., 2016 ) proposed a novel 3D shape feature learning method to extract high-level shape features that are insensitive to geometric deformations of shapes.…”

Section: Introductionmentioning

confidence: 99%

Feature extraction of 3D Chinese rose model based on color and shape features

et al. 2022

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Flower classification is of great importance to the research fields of plants, food, and medicine. Due to more abundant information on three-dimensional (3D) flower models than two-dimensional 2D images, it makes the 3D models more suitable for flower classification tasks. In this study, a feature extraction and classification method were proposed based on the 3D models of Chinese roses. Firstly, the shape distribution method was used to extract the sharpness and contour features of 3D flower models, and the color features were obtained from the Red-Green-Blue (RGB) color space. Then, the RF-OOB method was employed to rank the extracted flower features. A shape descriptor based on the unique attributes of Chinese roses was constructed, χ2 distance was adopted to measure the similarity between different Chinese roses. Experimental results show that the proposed method was effective for the retrieval and classification tasks of Chinese roses, and the average classification accuracy was approximately 87%, which can meet the basic retrieval requirements of 3D flower models. The proposed method promotes the classification of Chinese roses from 2D space to 3D space, which broadens the research method of flower classification.

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Novel re-parameterization for shape optimization and comparison with knot-based gradient fitting method

Cited by 4 publications

References 28 publications

Trends, Problems, and Solutions from Point Cloud via Non-Uniform Rational Basis Spline to Building Information Modelling: Bibliometric and Systematic Study

Trends, Problems, and Solutions from Point Cloud via Non-Uniform Rational Basis Spline to Building Information Modelling: Bibliometric and Systematic Study

Difference in Surface Fitting With Standard and Matrix Topology

Feature extraction of 3D Chinese rose model based on color and shape features

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