Conferences related to Spline

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2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.


2011 IEEE 12th International Conference on Computer-Aided Industrial Design & Conceptual Design (CAID & CD)

The 12th (CAID&CD'2011) conference s theme is Industrial Design Service Platform and Equipment Manufacturing and it will be dedicated to exploring the enhancement of the core competitiveness of the equipment manufacturing industry needs, the full utilization of advanced manufacturing theories, the integration of creative design and basic technology and resources, building a creative design platform for equipment manufacturing and promoting the transformation and upgrading of industrial clusters.

  • 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design (CAID & CD)

    Theme of 2010--- "Industry Clusters Creative Design Crossover integration" .The rapid development of the computer sciences has brought an ultimate change to the methods of design. New theories, methods and technologies appeared successively in recent years, such as cooperative design, virtual design, intelligent design, Internet-based design, commercial design, innovative design, design management, design physiology, design symbol, culture construction, design psychology, human technology, conceptual de

  • 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design (CAID & CD)

    CAIDCD2009 will be dedicated to E-commerce, Creative Design and Manufacturing. also focus on new theories, methods and technologies appeared successively in recent years, such as cooperative design, virtual design, intelligent design, Internet-based design, innovative design, design management, design symbol, culture construction, design psychology, human technology, kansei engineering, conceptual design and design informatics.


2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011)

The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing

  • 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010)

    AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.

  • 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009)

    The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.


2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics 2009)

CAD/Graphics 2009 is a serial international conference on CAD&CG held biennially in China. The conference co-sponsored by China Computer Federation and IEEE Beijing Section provides an international forum for researchers and developers from various countries to exchange new ideas on computer aided design and computer graphics.



Periodicals related to Spline

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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.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Visualization and Computer Graphics, IEEE Transactions on

Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...




Xplore Articles related to Spline

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Window functions obtained from B-S

F. Palmieri; L. Bolgiano ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1985

A comprehensive approach to the construction of polynomial window functions is proposed. In particular the B-Splines with knots coincident at the borders are, for given degree, the polynomials having the largest variance in the time domain. Linear combination of B-Splines can be used to compute polynomial windows up to any high degree. The advantage of this approach lies in the ...


Accurate and efficient evaluation of fields radiated at arbitrary distances by numerically-defined currents residing on arbitrarily shaped objects

Cristian Della Giovampaola; Raj Mittra; Alberto Toccafondi 2010 IEEE Antennas and Propagation Society International Symposium, 2010

In this paper, we present a method to accurately and efficiently compute the radiation from a numerically-defined set of currents represented in terms of a modified version of the classical rooftop basis functions. The shape of the scatterer is completely arbitrary and may be defined by NURBS surfaces [4], Since a NURBS representation is used in most of the CAD ...


Acquiring 3D models of non-rigid moving objects from time and viewpoint varying image sequences: a step toward left ventricle recovery

Y. Sato; M. Moriyama; M. Hanayama; H. Naito; S. Tamura IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997

This paper describes a method for the accurate recovery of time-varying 3D shapes with known cycle from images with different viewpoints as well as times; aiming at the recovery of the left ventricular shapes. Our recovery method is based on the integration of apparent contours from different viewpoints. We perform direct fitting to a 4D closed surface model based on ...


A model based contour searching method

Yingjie Tang; Lei He; Xun Wang; W. G. Wee Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering, 2000

A two-step model based approach to a contour extraction problem is developed to provide a solution to more challenging contour extraction problems of biomedical images. A biomedical contour image is initially processed by a deformable contour method to obtain a first order approximation of the contour. The two-step model includes a linked contour model and a posteriori probability model. Initially, ...


Surface stereo with soft segmentation

Michael Bleyer; Carsten Rother; Pushmeet Kohli 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010

This paper proposes a new stereo model which encodes the simple assumption that the scene is composed of a few, smooth surfaces. A key feature of our model is the surface-based representation, where each pixel is assigned to a 3D surface (planes or B-splines). This representation enables several important contributions: Firstly, we formulate a higher-order prior which states that pixels ...


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Educational Resources on Spline

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eLearning

Window functions obtained from B-S

F. Palmieri; L. Bolgiano ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1985

A comprehensive approach to the construction of polynomial window functions is proposed. In particular the B-Splines with knots coincident at the borders are, for given degree, the polynomials having the largest variance in the time domain. Linear combination of B-Splines can be used to compute polynomial windows up to any high degree. The advantage of this approach lies in the ...


Accurate and efficient evaluation of fields radiated at arbitrary distances by numerically-defined currents residing on arbitrarily shaped objects

Cristian Della Giovampaola; Raj Mittra; Alberto Toccafondi 2010 IEEE Antennas and Propagation Society International Symposium, 2010

In this paper, we present a method to accurately and efficiently compute the radiation from a numerically-defined set of currents represented in terms of a modified version of the classical rooftop basis functions. The shape of the scatterer is completely arbitrary and may be defined by NURBS surfaces [4], Since a NURBS representation is used in most of the CAD ...


Acquiring 3D models of non-rigid moving objects from time and viewpoint varying image sequences: a step toward left ventricle recovery

Y. Sato; M. Moriyama; M. Hanayama; H. Naito; S. Tamura IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997

This paper describes a method for the accurate recovery of time-varying 3D shapes with known cycle from images with different viewpoints as well as times; aiming at the recovery of the left ventricular shapes. Our recovery method is based on the integration of apparent contours from different viewpoints. We perform direct fitting to a 4D closed surface model based on ...


A model based contour searching method

Yingjie Tang; Lei He; Xun Wang; W. G. Wee Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering, 2000

A two-step model based approach to a contour extraction problem is developed to provide a solution to more challenging contour extraction problems of biomedical images. A biomedical contour image is initially processed by a deformable contour method to obtain a first order approximation of the contour. The two-step model includes a linked contour model and a posteriori probability model. Initially, ...


Surface stereo with soft segmentation

Michael Bleyer; Carsten Rother; Pushmeet Kohli 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010

This paper proposes a new stereo model which encodes the simple assumption that the scene is composed of a few, smooth surfaces. A key feature of our model is the surface-based representation, where each pixel is assigned to a 3D surface (planes or B-splines). This representation enables several important contributions: Firstly, we formulate a higher-order prior which states that pixels ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Complex-Valued B-Spline Neural Networks for Modeling and Inverse of Wiener Systems

    This chapter contains sections titled: Introduction Identification and Inverse of Complex-Valued Wiener Systems Application to Digital Predistorter Design Conclusions

  • Appendix A: Constructing the Quadratic Spline Wavelets

    Up-to-date, expert coverage of topics in wireless voice communications Voice communication is the most important facet of mobile radio service. Even when the predicted surge of wireless data and Internet services becomes a reality, voice will remain the most natural means of human communication. Voice Compression and Communications details issues in wireless voice communications and treats compression, channel coding, and wireless transmission as a joint subject. Part I covers background material, whereas Part II provides detailed information on both proprietary and standardized analysis-by-synthesis codecs, including the speech codecs of virtually all existing wireline-based and wireless systems. Parts III and IV discuss mainly research-based wideband, audio, as well as very low-rate schemes likely to find their way into future standards. Voice Compression and Communications describes fundamental concepts in a non-mathematical way early in the book for those with only a background knowledge of signal processing and communications. More advanced readers will find detailed discussions of theoretical principles, future concepts, and solutions to various specific wireless voice communications problems.

  • Wavelet-Based Signal Approximation With Genetic Algorithms

    In this paper, the usability of genetic algorithms for signal approximation is discussed. Due to recent developments in the field of signal approximation by wavelets, this work concentrates on signal approximation by waveletlike functions. Signals are approximated by a finite linear combination of elementary functions and a genetic algorithm is employed to find the coefficients to such an approximation. The algorithm maintains a population of different approximations, encoded in the form of chromosomes. Fitness functions employed to evaluate different approximations are the L1, L2, L4, and Lāˆž norms. Experiments are carried out on several test signals, using Gabor and spline wavelets, both to evaluate the quality of different fitness functions, encoding schemes, and operators, and to assess the usefulness of genetic algorithms m the realm of signal approximation.Although other existing methods are faster while providing comparable approximation quality, the algorithm offers a great deal of flexibility in terms of different elementary functions, fitness criteria, etc.

  • Interpolation and Approximation of Functions

    This chapter deals with the interpolation and approximation of functions. The interpolation includes Lagrange's interpolation polynomial, Taylor polynomials, Newton's interpolation polynomials, inverse interpolation, interpolation by Spline functions, and Hermite's interpolation. The mini-max approximation of functions, almost mini-max approximation of functions, approximation of functions by trigonometric functions (Fourier) and the least squares are considered. These are followed by applications.

  • No title

    In this lecture, we study Bezier and B-spline curves and surfaces, mathematical representations for free-form curves and surfaces that are common in CAD systems and are used to design aircraft and automobiles, as well as in modeling packages used by the computer animation industry. Bezier/B-splines represent polynomials and piecewise polynomials in a geometric manner using sets of control points that define the shape of the surface. The primary analysis tool used in this lecture is blossoming, which gives an elegant labeling of the control points that allows us to analyze their properties geometrically. Blossoming is used to explore both Bezier and B-spline curves, and in particular to investigate continuity properties, change of basis algorithms, forward differencing, B-spline knot multiplicity, and knot insertion algorithms. We also look at triangle diagrams (which are closely related to blossoming), direct manipulation of B-spline curves, NURBS curves, and triangu ar and tensor product surfaces.

  • Appendix A: Constructing the Quadratic Spline Wavelets

    No abstract.

  • Geometric Transformations

    Image warping and related techniques are covered in this chapter. The forward and reverse mapping approaches to geometric transformation are compared in detail, with particular emphasis on techniques for stream processing implementations. Hardware-based algorithms for bilinear, bicubic and spline based interpolation are described. Related techniques of image registration are also described at the end of this chapter, including a discussion of the scale invariant feature transform and super-resolution.

  • No title

    <p>This book is written for students, CAD system users and software developers who are interested in geometric continuity--a notion needed in everyday practice of Computer-Aided Design and also a hot subject of research. It contains a description of the classical geometric spline curves and a solid theoretical basis for various constructions of smooth surfaces. Textbooks on computer graphics usually cover the most basic and necessary information about spline curves and surfaces in order to explain simple algorithms. In textbooks on geometric design, one can find more details, more algorithms and more theory. This book teaches how various parts of the theory can be gathered together and turned into constructions of smooth curves and smooth surfaces of arbitrary topology.</p><p>The mathematical background needed to understand this book is similar to what is necessary to read other textbooks on geometric design; most of it is basic linear algebra and analys s. More advanced mathematical material is introduced using elementary explanations. Reading <i>Geometric Continuity of Curves and Surfaces</i> provides an excellent opportunity to recall and exercise necessary mathematical notions and it may be your next step towards better practice and higher understanding of design principles.</p>

  • Collision-Free and Curvature-Continuous Path Smoothing in Cluttered Environments

    We present a novel trajectory computation algorithm to smooth jerky collision- free paths computed by samplebased motion planners. Our approach uses cubic B-splines to generate G2 or curvature continuous trajectories. The algorithm performs local spline refinement to compute smooth, collision-free paths in narrow passages and satisfy velocity and acceleration constraints. We also present a fast and reliable algorithm for collision checking between robot and the environment along the B-spline trajectories. We highlight the performance of our algorithm on complex benchmarks, including path computation for rigid and articulated models in tight spaces and cluttered environments.

  • Relationships between GPs and Other Models

    This chapter contains sections titled: Reproducing Kernel Hilbert Spaces, Regularization, Spline Models, Support Vector Machines, Least-Squares Classification, Relevance Vector Machines, Exercises



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