Surface reconstruction

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Surface reconstruction refers to the process by which atoms at the surface of a crystal assume a different structure than that of the bulk. (Wikipedia.org)






Conferences related to Surface reconstruction

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Surface reconstruction

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Surface reconstruction

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Xplore Articles related to Surface reconstruction

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Correction to "Biventricular Myocardial Strains via Nonrigid Registration of Anatomical NURBS Models"

IEEE Transactions on Medical Imaging, 2006

None


A New Slicing Method for AMF Model with Topology Structure

2016 13th International Conference on Embedded Software and Systems (ICESS), 2016

In this paper, a slicing method for AMF model is proposed. This method combines region growing surface reconstruction with a topology structure slicing method for AMF model. We perform half-edge match in the region growing reconstruction process to obtain the topology structure of the triangular mesh model. Then, the topology relation between adjacent facets is preserved in an AMF file ...


Passivation of InP with thin layers of MBE-grown CdS

Conference Proceedings. 1998 International Conference on Indium Phosphide and Related Materials (Cat. No.98CH36129), 1998

Thin layers of CdS were grown on [100] n-InP by molecular beam epitaxy (MBE). Substrates were pre-treated in an ammonia/thiourea solution, then annealed at /spl sim/150-250/spl deg/C in vacuo prior to CdS growth. A single effusion cell with a polycrystalline CdS source was used. Reflection high energy electron diffraction (RHEED) analysis showed surface reconstruction following predeposition anneals at 200/spl deg/C ...


Chaotic SVM Prediction Model of High-rise Building Based on Multi-scale EMD Decomposition

2010 Third International Conference on Information and Computing, 2010

A new idea was put forward for chaotic characteristics and time-variable law of surface subsidence of goaf by means of EMD and prediction methods of chaotic. Problems of space reconstruction of IMFS, establishment chaotic prediction model and application of model were discussed. EMD-SVM methods were used for modeling and predicting the goaf subsidence. The result of the simulation experiment shows ...


Electromagnetic analysis of wireless power transfer system with Improvised Absorbing Boundary Conditions

2016 Progress in Electromagnetic Research Symposium (PIERS), 2016

The performance of the Improvised Absorbing Boundary Conditions (IABC) is studied when applied to wireless power transfer (WPT) systems. The IABC is one of the approximated techniques to solve the unbounded electromagnetic problems. It was recently proposed to solve quasi-static problems and extended to the high frequencies. Non-radiative WPT based on the magnetic resonance and near-field coupling of two-loop resonators ...


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Educational Resources on Surface reconstruction

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IEEE-USA E-Books

  • Correction to "Biventricular Myocardial Strains via Nonrigid Registration of Anatomical NURBS Models"

    None

  • A New Slicing Method for AMF Model with Topology Structure

    In this paper, a slicing method for AMF model is proposed. This method combines region growing surface reconstruction with a topology structure slicing method for AMF model. We perform half-edge match in the region growing reconstruction process to obtain the topology structure of the triangular mesh model. Then, the topology relation between adjacent facets is preserved in an AMF file which is extensible, and a slicing process based on these topology information is accomplished. Our method integrates the slicing process of 3D printing with topology structure reconstruction, reducing the deviation brought by step-by-step operations. Compared with the slicing approaches based on STL files, experiments show that our method improves the slicing efficiency without decreasing the accuracy.

  • Passivation of InP with thin layers of MBE-grown CdS

    Thin layers of CdS were grown on [100] n-InP by molecular beam epitaxy (MBE). Substrates were pre-treated in an ammonia/thiourea solution, then annealed at /spl sim/150-250/spl deg/C in vacuo prior to CdS growth. A single effusion cell with a polycrystalline CdS source was used. Reflection high energy electron diffraction (RHEED) analysis showed surface reconstruction following predeposition anneals at 200/spl deg/C of sulfur-passivated InP. Subsequent CdS deposition at 200/spl deg/C resulted in lattice-matched epitaxial layers in the metastable cubic phase, as observed with RHEED. X-ray photo-electron spectroscopy (XPS) analysis of the CdS/InP structures showed that the near- surface of InP is phosphorus deficient following the pre-deposition anneal, with an In/sub 2/S/sub 3/ layer present at the substrate/CdS interface. Subsequent processing of MIS structures with CdS layers (25-85 /spl Aring/) between the InP and SiO/sub 2/ resulted in MIS capacitors with consistently low density of interface states (2/spl times/10/sup 11/ eV/sup -1/ cm/sup -2/) and hysteresis (20 mV).

  • Chaotic SVM Prediction Model of High-rise Building Based on Multi-scale EMD Decomposition

    A new idea was put forward for chaotic characteristics and time-variable law of surface subsidence of goaf by means of EMD and prediction methods of chaotic. Problems of space reconstruction of IMFS, establishment chaotic prediction model and application of model were discussed. EMD-SVM methods were used for modeling and predicting the goaf subsidence. The result of the simulation experiment shows that the new model have a high accuracy in prediction of the deformation sequence.

  • Electromagnetic analysis of wireless power transfer system with Improvised Absorbing Boundary Conditions

    The performance of the Improvised Absorbing Boundary Conditions (IABC) is studied when applied to wireless power transfer (WPT) systems. The IABC is one of the approximated techniques to solve the unbounded electromagnetic problems. It was recently proposed to solve quasi-static problems and extended to the high frequencies. Non-radiative WPT based on the magnetic resonance and near-field coupling of two-loop resonators was first reported by Tesla and nowadays, it has attracted interest from industry and academic researchers. The frequency used in non-radiative WPT systems are rather low and therefore, high frequency electromagnetic techniques e.g., radiation boundary conditions and PML are not applicable to analyze the WPT systems. In this manuscript, the advantages of the IABC is discussed.

  • Measurement of the 3-D shape of specular polyhedrons using an M-array coded light source

    In this paper we describe a method for measuring three-dimensional shape of specular polyhedron by using an M-array coded light source. Determination of a shape of specular surface is important especially for industrial applications. However, owing to specular reflection, it is difficult to measure the shape of specular surfaces by applying the methods for diffusing surfaces. We reconstruct the shape of specular objects from the image of M-array coded light source observed after being reflected by the object. Using the "window property" of M-array, the correspondence is found between a point on the image of reflected light source and a point on light source. By assuming that the surface is locally a plane, normal vectors of the surface are determined from the correspondence, and three-dimensional shape of the surface is reconstructed. This method enables us to measure the shape of specular polyhedron by using a simple equipment. The method was tested for a polyhedron of 10 cm of each side, 50 cm apart from the camera. The shape of the polyhedron was reconstructed correctly. The precision of the measurement was about 1 mm.<<ETX>>

  • Delaunay Mesh Reconstruction from 3D Medical Images Based on Centroidal Voronoi Tessellations

    Reconstructing meshes from 3D medical images is an important but complicated task, which provides a fundamental data structure for bio-medical applications. In this paper, a novel and easily implemental solution is proposed. Instead of following the popular methods, we sample on the medical images with centroidal Voronoi tessellations, and then build the Delaunay mesh from the sampled points directly. By applying the algorithm on the CT images and evaluating the mesh quality metrics, the solution presents to be good at reconstructing complicated objects and generates optimized meshes, which shows that it is suitable for anatomical structure modeling.

  • Direct shape reconstruction of 3-D object from monocular shading image

    The method described in this paper for reconstructing the shape of Lambertain surfaces from the shading information inherent in a monocular image can deal with a surface whose image (a smooth and non-self-occluding one) is produced by orthographic projection with a parallel light source from a known direction. By dividing the image area into serial triangles, the intensity function I(x,y) on each triangle can be linearized. With the help of a support function and a transformation, it is proved that each triangle represents a cylinder in new X-Y coordinates with (s,t) as its surface gradient components. So, the ill-posed image brightness constraint equation in Cartesian coordinates can be solved in X-Y coordinates with only one variable (either s or t). It is necessary to find out, firstly, the pixel which has the maximal intensity, and then assign its depth leads for the direct recovery of the shape at each point, without the necessity of integration.<<ETX>>

  • Three-dimensional surface reconstruction of optical Lambertian objects using cone-beam tomography

    We develop an approach to the determination of 3-D structure and reflectivity of Lambertian objects using a modification of cone-beam tomography. Like other tomographic imaging methods, our approach is entirely numerical and does not rely on heuristics. Furthermore, it requires only ambient illumination.

  • Closed surface reconstruction in X-ray tomography

    We study the 3D reconstruction of a binary scene from X-ray tomographic data. In the special case of a compact and uniform object lying in a uniform background, the scene is entirely defined by the object surface. Then, we select parametric surface models, and we directly estimate their parameters from the data. After showing the ability of spherical harmonics and first order splines (polyhedra) to recover complex shapes, we develop an original method to estimate their parameters without using a voxel representation of the scene (object and background). Reconstructions are based on the optimization of regularized criteria, which account for the surfaces local smoothness. We use local optimization schemes, and we put the stress on their algorithmic aspects. We finally show the performance of the method on a set of incomplete synthetic data.



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