Introduction to 3d Mesh
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3d Mesh sentence examples within Textured 3d Mesh
Besides providing textured 3D meshes for clothes and body we annotated the dataset with segmentation masks, skeletons, depth, normal maps and optical flow.
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As an example application, we demonstrate the benefits of our architecture for 3D semantic segmentation of textured 3D meshes.
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3d Mesh sentence examples within Produce 3d Mesh
We show that our method performs qualitative results on shape deformation and produces 3D mesh with great details, evaluating on a dataset mainly consisting of human shape.
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We applied portable structured-light 3D optical scanning or segmented neutron/X-ray tomography data to produce 3D meshes of the complex samples.
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3d Mesh sentence examples within Created 3d Mesh
Using the template images and the landmark positions predicted by the growth models, we created 3D meshes for each week of age up to six months for both populations.
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Using the template images and the landmark positions predicted by the growth models, we created 3D meshes for each week of age up to 6 months for both populations.
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3d Mesh sentence examples within Original 3d Mesh
Linear and volumetric measurements of specific physical modular components were repeated, averaged and compared to the original 3D meshes generated from the medical imaging data.
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After converting the original 3D mesh file to voxel and point cloud data type, the model will feed an autoencoder with data in the same dimension.
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3d Mesh sentence examples within Large 3d Mesh
3d Mesh sentence examples within Generate 3d Mesh
Large-scale three-dimensional (3D) reconstruction from multi-view images is used to generate 3D mesh surfaces, which are usually built for urban areas and are widely applied in many research hotspots, such as smart cities.
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3D CT images of the particles were used to generate 3D meshes with similar morphology as the actual sand particles and the particles were loaded similar to Kolsky experiments.
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3d Mesh sentence examples within Full 3d Mesh
In contrast, we propose a Graph Convolutional Neural Network (Graph CNN) based method to reconstruct a full 3D mesh of hand surface that contains richer information of both 3D hand shape and pose.
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In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.
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3d Mesh sentence examples within Watertight 3d Mesh
Our approach represents the surrounding of the robot as a watertight 3D mesh generated from local point cloud data in order to represent the free space surrounding the robot.
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MOVE 4D software automatically processes of the captured point clouds to provide dense watertight 3D meshes in motion, which vertices can be traced along the motion frames.
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3d Mesh sentence examples within 3d mesh model
The predicted landmarks are used to estimate the garment size thus a template mesh can be deformed accordingly to construct the 3D mesh model.
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Specifically, we (1) employ Fourier series to convert 3D mesh models into continuous parametric representations through a conversion algorithm, which largely reduces data size and computing time but still keeps high realism, (2) introduce a partial differential equation (PDE)-based skin deformation model and successfully obtain the first analytical solution to physics-based skin deformations which overcomes the limitations of numerical calculations.
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3d Mesh sentence examples within 3d mesh representation
The high density point cloud was able to be transformed into 3D mesh representation and could be fed into a geographic information system for further analysis steps.
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We study the problem of shape generation in 3D mesh representation from a few color images with known camera poses.
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3d Mesh sentence examples within 3d mesh datum
The first process is the threshold-based image segmentation which extracts left heart regions from cardiac CT images and the 3D mesh data are extracted from the image segmentation results consequently.
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3d Mesh sentence examples within 3d mesh structure
3d Mesh sentence examples within 3d mesh sequence
3d Mesh sentence examples within 3d mesh deformation
The idea is to integrate genetic algorithms into the wavelet network to avoid both insufficiency and local minima in the 3D mesh deformation technique.
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The current study presents a new 3D mesh deformation process using multi-mother wavelet neural network architecture, which relies on genetic algorithm and multiresolution analysis.
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3d Mesh sentence examples within 3d mesh surface
In this work, we introduce multi‐column graph convolutional networks (MGCNs), a deep generative model for 3D mesh surfaces that effectively learns a non‐linear facial representation.
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Large-scale three-dimensional (3D) reconstruction from multi-view images is used to generate 3D mesh surfaces, which are usually built for urban areas and are widely applied in many research hotspots, such as smart cities.
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3d Mesh sentence examples within 3d mesh obtained
The 3D mesh obtained from this procedure preserves good mesh characteristics in parametric space because the proposed method significantly minimizes triangular mesh distortion when the 3D mesh in the real space is mapped to the parametric space and vice versa.
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To retrieve correspondences, our idea is to start from a sparse 3D mesh obtained with ORB SLAM and then densify the mesh by a plane sweep method using a multi-view photometric consistency.
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3d Mesh sentence examples within 3d mesh object
We show that our method performs qualitative results on shape deformation and produces 3D mesh with great details, evaluating on a dataset mainly consisting of human shape.
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Block models of geophysical and geological characteristics are cast in a similar 3D mesh to investigate their relationships in copper mineralization.
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To learn the correlation between 2D sketches and 3D cars, we propose a Variational Autoencoder deep neural network that takes a 2D sketch and generates a set of multi-view depth & mask images, which are more effective representation comparing to 3D mesh, and can be combined to form the 3D car shape.
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The idea is to integrate genetic algorithms into the wavelet network to avoid both insufficiency and local minima in the 3D mesh deformation technique.
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Overall, we show that normal and cancer cells thrive in the 3D meshes cultured in fetal bovine free medium which eliminates the use of collagen as an extracellular matrix support.
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a development end, stope or fault); or (ii) select seismic events that occur in the vicinity of each node of a 2D or 3D mesh that covers the entire region of interest.
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The high density point cloud was able to be transformed into 3D mesh representation and could be fed into a geographic information system for further analysis steps.
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This paper proposes a new task that emphasizes the importance of past-designs in 3D mesh synthesis.
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Purpose: We generated geospatial information of unmanned aerial vehicle based on various SW and analyzed the location accuracy of orthoimage and DSM and texture mapping of 3D mesh.
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The predicted landmarks are used to estimate the garment size thus a template mesh can be deformed accordingly to construct the 3D mesh model.
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This full-reference metric is based on local curvature statistics and can be viewed as an extension for point clouds of the MSDM metric suited for 3D meshes.
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This 3D mesh was modified with a view to seal vessel gaps and remove digital artefactswith the digital sculpting tool zBrush 4R7 (Pixologic inc.
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In the software, the user is tasked to put markers on the site, measure distances between them, and then take photos of the site, from which the 3D mesh is generated offline.
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With the recent advances of data acquisition techniques, the compression of various 3D mesh animation data has become an important topic in computer graphics community.
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We study the problem of shape generation in 3D mesh representation from a few color images with known camera poses.
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This was tested on 3D mesh data of Mars, provided by Mars Orbiter Laser Altimeter (MOLA).
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This study is expected to provide a scientific basis for the design and optimization of 3D mesh scaffolds to reconstruct a mandibular functionally and aesthetically.
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Our system produces both skeletal poses and 3D meshes of moving human bodies at high frequency with good accuracy.
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Similar to traditional textures, neural textures are stored as maps on top of 3D mesh proxies; however, the high-dimensional feature maps contain significantly more information, which can be interpreted by our new deferred neural rendering pipeline.
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0 are: Through Silicon Via power and performance models, 3D topology construction modules, 3D Mesh topology construction using variable X, Y, Z radix, tailored routing modules for 3D NoCs.
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The optimized 3D manycore systems improve the EDP up to 38% when compared to 3D mesh-based designs optimized for the placement of PEs.
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The decoder has two components: A pre-computed articulated mesh deformation hand model that generates a 3D mesh from the hand parameters, and a re-projection module controlled by the view parameters that projects the generated hand into the image domain.
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We demonstrate the effectiveness of MeshCNN on various learning tasks applied to 3D meshes.
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Specifically, we (1) employ Fourier series to convert 3D mesh models into continuous parametric representations through a conversion algorithm, which largely reduces data size and computing time but still keeps high realism, (2) introduce a partial differential equation (PDE)-based skin deformation model and successfully obtain the first analytical solution to physics-based skin deformations which overcomes the limitations of numerical calculations.
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, absorption coefficient, scattering coefficient, anisotropic index, and refractive index) of bone and soft tissue were assigned to each node of the 3D mesh and light propagation was simulated using the Mesh-based MonteCarlo (MMC) toolbox.
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The objective of this study is to implement a new simplified model of a muscle, based on a 1D element, rod type, used in most common analysis, instead of a 3D mesh of the muscle geometry.
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In this paper, we present a novel approach that improves the resolution and geometry of 3D meshes of large scenes with such repeating elements.
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We show the efficiency and robustness of our method through experimental results applied on reverse engineered 3D meshes.
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This was then converted into a 3D mesh and exported in STL format, in order to calculate the corresponding volume.
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In this paper, the main differences between the use of parametric models (CAD models) and scanned 3D meshes are discussed.
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The proposed work presents a novel approach of reversible data hiding in 3D mesh models.
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In this paper, an adaptive unified data embedding and scrambling technique for 3D mesh models (3D-AUES) is proposed, which can embed external data and scramble 3D mesh simultaneously.
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Besides providing textured 3D meshes for clothes and body we annotated the dataset with segmentation masks, skeletons, depth, normal maps and optical flow.
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We generate a dataset of toppling analysis for 1,257,000 candidate points on the surface of 189 3D meshes and perform 700 physical toppling experiments using an ABB YuMi.
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