Enhanced 3D parameterization for integrated shape synthesis by fitting parameter values to point sets

Ćurković, Milan; Vučina, Damir; Ćurković, Andrijana

doi:10.3233/ica-170541

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…Object depth estimation is one of the most active research topics in computer vision, see [56,6]. According to the different setting of system parameters, two different methods, depth from defocus (DFD) [52] and stereo matching [38,11], are widely studied.…”

Section: Related Workmentioning

confidence: 99%

Geometry based three-dimensional image processing method for electronic cluster eye

Zhang

Zhu

et al. 2018

ICA

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In recent years, much attention has been paid to the electronic cluster eye (eCley), a new type of artificial compound eyes, because of its small size, wide field of view (FOV) and sensitivity to motion objects. An eCley is composed of a certain number of optical channels organized as an array. Each optical channel spans a small and fixed field of view (FOV). To obtain a complete image with a full FOV, the images from all the optical channels are required to be fused together. The parallax from unparallel neighboring optical channels in eCley may lead to reconstructed image blurring and incorrectly estimated depth. To solve this problem, this paper proposes a geometry based three-dimensional image processing method (G3D) for eCley to obtain a complete focused image and dense depth map. In G3D, we derive the geometry relationship of optical channels in eCley to obtain the mathematical relation between the parallax and depth among unparallel neighboring optical channels. Based on the geometry relationship, all of the optical channels are used to estimate the depth map and reconstruct a focused image. Subsequently, by using an edge-aware interpolation method, we can further gain a sharply focused image and a depth map. The effectiveness of the proposed method is verified by the experimental results.

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Section: Related Workmentioning

confidence: 99%

Geometry based three-dimensional image processing method for electronic cluster eye

Zhang

Zhu

et al. 2018

ICA

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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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“…It can adjust the structures automatically and realize the computer‐aided design. Parametric modeling has been widely adopted in the shape generation (Ćurković, Marinić‐Kragić, & Vučina, 2018; Ćurković, Vučina, & Ćurković, 2017). However, this method is uncommon in the grid generation because the grid of free‐form grid structures is difficult to describe by parameters.…”

Section: Introductionmentioning

confidence: 99%

Computational morphogenesis of free‐form grid structures with Voronoi diagram

et al. 2020

Computer aided Civil Eng

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Free‐form grid structures have developed increasingly with the development of computer‐aided design and advanced construction technology. However, the grid generation is still a difficulty for designing free‐form grid structures. The computational morphogenesis of free‐form grid structures with the Voronoi diagram is proposed to solve this difficulty. Voronoi diagram is introduced to form the irregular grid of structures. Morphologies of plane and curved surface Voronoi grid structure are formulated to realize parametric modeling of the structural grid. A comprehensive structural index is proposed for evaluating free‐form grid structures quantitatively from the aspects of both architectural and structural behaviors. Taking the seeds as optimization variables and the comprehensive structural index as optimization objective, the grid generation problem is transformed into an optimization problem. Numerical examples show that the proposed morphogenesis is feasible and effective for the grid generation of free‐form structures. The free‐form grid structures generated by the proposed method have not only appealing geometry but also good mechanical behavior. The consideration of the symmetry can accelerate the grid generation process. Different grid distributions can be realized with different supports.

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Enhanced 3D parameterization for integrated shape synthesis by fitting parameter values to point sets

Cited by 8 publications

References 25 publications

Geometry based three-dimensional image processing method for electronic cluster eye

Geometry based three-dimensional image processing method for electronic cluster eye

Difference in Surface Fitting With Standard and Matrix Topology

Computational morphogenesis of free‐form grid structures with Voronoi diagram

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