662 resources related to Isosurfaces
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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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
Held since 1992, the IEEE Haptics Symposium (HAPTICS) is a vibrant interdisciplinary forum where psychophysicists, engineers, and designers come together to share advances, spark new collaborations, and envision a future that benefits from rich physical interactions between humans and computers, generated through haptic (force and tactile) devices.
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.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
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 ...
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
IEEE Transactions on Visualization and Computer Graphics, 1996
The Fifth International Conference on Computer and Information Technology (CIT'05), 2005
In this paper, we proposed an improved version of the marching cube algorithm which gives a topologically correct triangular approximation of the isosurface for any cube configuration. First, a classification and characterization of critical points on the isosurface of trilinear functions is studied in detail. Then, unlike the past work on marching cube algorithm, a robust triangulation strategy without using ...
IEEE Transactions on Magnetics, 1993
A set of 3-D vector field visualization methods is presented. Through its development process, the use of a programming environment, SGI/IRIS Explorer, for visualization applications is presented. A set of methods for vector field visualization, including the isosurface, flux line, and cross section method, is presented. These methods can generate various interactive graphics displays of a vector field for both ...
2018 25th IEEE International Conference on Image Processing (ICIP), 2018
We present a novel computational approach to detect white-matter brain impairments following stroke or Traumatic Brain Injuries (TBI). A key assumption in our study is that the two hemispheres are not affected identically. The pathology of white matter (WM) tracts can be thus identified according to the asymmetry level of brain diffusivity measures, such as Fractional Anisotropy (FA) and Mean ...
2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
With development of modern medical imaging computer technology, the rapid prototyping manufacturing and 3D visualized medical accessory system reality were achieved based on CT. Aiming at the key technology of 3D reconstruction from medical CT images, a 3D medical imaging surface reconstruction scheme was proposed, which integrated segmentation with marching cubes (MC) algorithm. Firstly, the shortage of standard MC algorithm ...
In this paper, we proposed an improved version of the marching cube algorithm which gives a topologically correct triangular approximation of the isosurface for any cube configuration. First, a classification and characterization of critical points on the isosurface of trilinear functions is studied in detail. Then, unlike the past work on marching cube algorithm, a robust triangulation strategy without using the conventional look-up table and complementary and rotation operations is presented. Our algorithm is adaptive to the small changes of the data or the small changes of the threshold, and obtains more reasonable result of triangulation of isosurface than those produced by standard MC algorithm
A set of 3-D vector field visualization methods is presented. Through its development process, the use of a programming environment, SGI/IRIS Explorer, for visualization applications is presented. A set of methods for vector field visualization, including the isosurface, flux line, and cross section method, is presented. These methods can generate various interactive graphics displays of a vector field for both research and instructional purposes. Due to the modularization nature of the environment considered and the flow-chart style of its map diagram, the development of visualization applications becomes a process of building maps using modules (existing and custom) as the building blocks.<<ETX>>
We present a novel computational approach to detect white-matter brain impairments following stroke or Traumatic Brain Injuries (TBI). A key assumption in our study is that the two hemispheres are not affected identically. The pathology of white matter (WM) tracts can be thus identified according to the asymmetry level of brain diffusivity measures, such as Fractional Anisotropy (FA) and Mean Diffusivity (MD), extracted from Diffusion Tensor Imaging (DTI). The proposed methodological contribution is based on the construction of a sequence of isosurfaces of these scalar measures and their symmetrical counterparts, obtained by reflecting the original isosurfaces. The modified Hausdorff distance is then used to measure the dissimilarity between each corresponding pair of aligned surfaces. The proposed method is assessed using datasets of normal controls (NCs), stroke patients and longitudinal brain scans of football players that might have been exposed to mild head traumas. Increased asymmetry with respect to NCs is shown for the stroke patients and some of the players indicating possible WM injuries.
With development of modern medical imaging computer technology, the rapid prototyping manufacturing and 3D visualized medical accessory system reality were achieved based on CT. Aiming at the key technology of 3D reconstruction from medical CT images, a 3D medical imaging surface reconstruction scheme was proposed, which integrated segmentation with marching cubes (MC) algorithm. Firstly, the shortage of standard MC algorithm was analyzed that caused huge consumption of operation and was hard to work out ,then it indicated the special MC(SMC) algorithm to make 3D reconstruction from medical spiral CT images. Finally, the experiment of two algorithms was accomplished with Visual C++. The experimental data of tooth showed that the SMC could reduce unnecessary cube on the calculation and simplify the reconstruction methods.
Information graphics (inforgraphics) plays a great role in information visualization. It is a valuable way to explore the visualization style of complex data or information based on a universal visual language. Through the analysis of the attributes of fundamental graphics and the information communication, several composed inforgraphics design principles are put forward and estimated in the application of information visualization of nature disaster.
Developing and testing new algorithms for medical imaging processing can be a tiresome task as it often requires an additional set of tools to visualize the data and results and perform validation steps along the development. The integration among all these tools is also very important as it speeds all the process allowing the developer to concentrate on the real problems.This article briefly presents how MeVisLab is being used as a prototyping platform to develop a semi-automatic segmentation algorithm to extract the left ventricle from 4D MDCT images of the heart and then build a simple framework to perform a preliminary evaluation of the obtained results.
We put forward a marching cube algorithm based on the extraction and expression of multiresolution isosurfaces. It can solve the problem of too much and too meticulous triangular meshes on a traditional marching cube algorithm with single resolution. At the same time, under the users' requests, it can apply various precision to different regions of the object to get a compromise between rendering time and image precision. Our algorithm firstly, begins with low resolution images, and gradually extracts high precision isosurfaces from high resolution ones to achieve multiresolution rendering; finally, it establishes the corresponding relationship between different resolution isosurfaces and images. Specifically, the algorithms use a new 3D image encoding method: recursive subdivision wavelet encoding which is more suitable for extracting multiresolution isosurfaces.
An algorithm for computing a representation for sub-volumes that segment space into different classifications is given. The starting point is a tetrahedrization of a set of scattered points in space, each with a classification associated with it. The algorithm then marches from tetrahedron to tetrahedron to generate the representation in terms of sub-tetrahedra. The algorithm is very simple and independent of the number of the number of different classifications of points.
Human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as medical care, human-computer interaction and virtual training. The task is challenging for feature extraction due to variations in motion performance, recording settings and inter-personal differences. To meet these challenges, we propose two types of feature extraction methods based on the Kinect depth image sequences in this paper. One is assuming that there exists even distribute position lines in the three-dimensional space of frame difference, it will be active when the moving object touches them. The other is mapping the 16 successive frame sequences to a single image by Speed Time Mapping (STM) or Time Depth Mapping (STDM), obtaining 36-dimensiona spatial- temporal features in this image. These features are fed into Support Vector Machine (SVM) to identify the action categories. The experiments compare their performance and demonstrate the effectiveness of STDM.
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