Conferences related to Structural shapes

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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.


2020 IEEE International Conference on Robotics and Automation (ICRA)

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.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Structural shapes

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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


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

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, ...


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.


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Most published Xplore authors for Structural shapes

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Xplore Articles related to Structural shapes

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Model-based shape matching with structural feature grouping

Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5), 1994

An essential problem in online handwriting recognition is in the shape variation along with the variety of stroke number and stroke order. This paper presents a clear and systematic approach to shape matching based on structural feature grouping. To cope with topological deformations caused by stroke connection and breaking, we incorporate some aspects of top-down approaches systematically into the shape ...


A graph-based segmentation and feature extraction framework for Arabic text recognition

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2001

This paper presents a graph-based framework for the segmentation of Arabic text. The same framework is used to extract font independent structural features from the text that are used in the recognition. The major contribution of this paper is a new graph-based structural segmentation approach based on the topological relation between the baseline and the line adjacency graph representation of ...


An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods

2009 10th International Conference on Document Analysis and Recognition, 2009

We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the preprocessed character are used to construct a subspace using the 2DPCA algorithm. Recognition of the test sample is performed using a nearest neighbor classifier. Based on the analysis of the confusion matrix, multiple ...


Morphological skeleton and shape decomposition

[1990] Proceedings. 10th International Conference on Pattern Recognition, 1990

A novel morphological shape decomposition algorithm which is based on the skeleton transform is presented. The input to the algorithm is the morphological skeleton of a binary shape. Using simple morphological operations, this algorithm decomposes a binary shape into shape segments that correspond to maximal skeleton-induced subregions of the original shape containing no necks. A skeleton-induced decomposition scheme for 2-D ...


Word-wise Sinhala Tamil and English script identification using Gaussian kernel SVM

2008 19th International Conference on Pattern Recognition, 2008

There are many documents in Srilanka where a single document page may contain Sinhala, Tamil and English texts. For OCR development of such a document page, it is better to identify different scripts present in the page and then feed the identified portion to the respective OCR module. In this paper, a SVM based technique is proposed for word-wise identification ...


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Educational Resources on Structural shapes

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IEEE-USA E-Books

  • Model-based shape matching with structural feature grouping

    An essential problem in online handwriting recognition is in the shape variation along with the variety of stroke number and stroke order. This paper presents a clear and systematic approach to shape matching based on structural feature grouping. To cope with topological deformations caused by stroke connection and breaking, we incorporate some aspects of top-down approaches systematically into the shape matching algorithm. The grouping of local structural features into high-level features is controlled by high-level knowledge as well as the simple geometric conditions. The shape matching algorithm requires a small number of prototypes and has the following properties from the viewpoint of online character recognition: (a) The order of strokes is free; (b) The number of strokes is free; (c) Stroke connection and breaking are allowed.

  • A graph-based segmentation and feature extraction framework for Arabic text recognition

    This paper presents a graph-based framework for the segmentation of Arabic text. The same framework is used to extract font independent structural features from the text that are used in the recognition. The major contribution of this paper is a new graph-based structural segmentation approach based on the topological relation between the baseline and the line adjacency graph representation of the text. The text is segmented to sub- character units that we call "scripts". A structure analysis approach is used for recognition of these units. A different classifier is used to recognize dots and diacritic signs. The final character recognition is achieved by using a regular grammar that describes how characters are composed from scripts.

  • An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods

    We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the preprocessed character are used to construct a subspace using the 2DPCA algorithm. Recognition of the test sample is performed using a nearest neighbor classifier. Based on the analysis of the confusion matrix, multiple pairs of confused characters are identified. At the second level, we use script specific cues to sort out the ambiguities among the confused characters. This strategy reduces the recognition error among the confused character sets handled, by more than 4%. This approach can be applied irrespective of the nature of the classifier used for the first level of recognition, though the nature of the confusion set might vary.

  • Morphological skeleton and shape decomposition

    A novel morphological shape decomposition algorithm which is based on the skeleton transform is presented. The input to the algorithm is the morphological skeleton of a binary shape. Using simple morphological operations, this algorithm decomposes a binary shape into shape segments that correspond to maximal skeleton-induced subregions of the original shape containing no necks. A skeleton-induced decomposition scheme for 2-D shapes is defined. Many extensions to the basic algorithm are also possible. The shape segments produced can be used to construct structural shape descriptions or for other shape analysis purposes.<<ETX>>

  • Word-wise Sinhala Tamil and English script identification using Gaussian kernel SVM

    There are many documents in Srilanka where a single document page may contain Sinhala, Tamil and English texts. For OCR development of such a document page, it is better to identify different scripts present in the page and then feed the identified portion to the respective OCR module. In this paper, a SVM based technique is proposed for word-wise identification of Sinhala, Tamil and English scripts from a single document page. Structural features, topological features and water reservoir principle based features are mainly used here for the purpose. From the experiment we obtained encouraging results.

  • Efficient morphological shape representation by varying overlapping levels between representative disks

    In this paper, we propose a new way of generalizing three basic morphological shape representation algorithms to improve representational efficiency. In all three basic algorithms, a fixed overlapping policy is used to control the overlapping relationships between representative disks of different sizes. In our new algorithm, different overlapping policies are used to generate shape components that have different overlapping relationships among themselves. The overlapping policy is selected dynamically according to local shape features. Experiments show that compared to the three basic algorithms, our algorithm produces more efficient representations with lower numbers of representative points.

  • Formulas for Calculating Short-Circuit Forces Between Channels Located Back to Back

    None

  • Modular neural net architecture for one-step thinning algorithm

    A one-step parallel thinning algorithm using a deletion operator with 25 reference pixels and its neural implementation are presented. The one-step algorithm is an improved version of the previous parallel thinning algorithms in terms of the speed of the thinning process and the quality of thinned results. An efficient 2-layer neural net implementation of the one-step thinning algorithm is presented. The network consists of a module trained with the backpropagation learning rule and modules with hand-crafted weights.

  • Radiative characteristic of on-chip terahertz (THz) structures

    There are possibilities for producing narrow-band THz radiation, using either free or bound electrons (solid state), in micro-undulatory configurations because integrated circuit technology appears well matched to this region, which extends from about 300 GHz to 30 THz. We present electromagnetic simulations for various new on-chip THz configurations. Interference effects are studied in terms of both structural shape and tuning parameters to improve output intensity, bandwidth and directionality. Results imply that we can design an efficient THz radiator by tuning the phases of the EM-waves propagating from the different sections of the structure. Results are validated by comparing two independent calculations from the developed FDTD code and a commercial finite-element code (HFSS); they agree quite well. We concentrate mainly on the radiative characteristics and determine whether the underlying electromagnetic assumptions are sound.

  • A generalized morphological skeleton transform and extraction of structural shape components

    In this paper, we introduce a generalized morphological skeleton transform that uses eight structuring elements to generate skeleton subsets. The number of representative points needed to represent a given shape is significantly lower than in the standard skeleton transform. A collection of shape components needed to build a structural representation is easily selected from the shape elements generated in the generalized skeleton transform. Each shape component covers a significant area of the given shape and severe overlapping is avoided. The given shape can also be accurately approximated using a small number of shape components.



Standards related to Structural shapes

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No standards are currently tagged "Structural shapes"


Jobs related to Structural shapes

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