IEEE Organizations related to Iterative closest point algorithm

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Conferences related to Iterative closest point algorithm

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (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 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


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


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 Iterative closest point algorithm

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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 ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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 ...


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Most published Xplore authors for Iterative closest point algorithm

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Xplore Articles related to Iterative closest point algorithm

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Preliminary Results on Instantaneous UAV-Based 3D Mapping for Rescue Applications

2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2018

This report presents a novel approach to generate a 3D map with an UAV while flying over a disaster scene with the aim to present the map instantaneously to the operator and the rescue workers. Our approach extends the well-known ICP algorithm.


Residual stress of graphene-based MEMS ICP piezoresistive pressure sensors

2016 International Conference on Bio-engineering for Smart Technologies (BioSMART), 2016

Thin diaphragm play an important role in highly sensitive MEMS piezoresistive pressure sensor for intracranial pressure measurement. The thinness of graphene was utilized in this pressure sensor to maximize the sensitivity of the ICP pressure sensor. However a very thin diaphragm can cause a pressure nonlinearity performance problem due to the residual stresses. This present paper study the effect of ...


A match and merge method for 3D modeling from range images

6th International Conference on Signal Processing, 2002., 2002

This paper presents a new method for combining several range images to create a complete virtual model of an object. It considers the problem of unpositioned range images which must be registered before their fusion into the final model. The proposed method relies on a modeling which preserves the topology of the range images and introduces a new view fusion ...


An Efficient 3D Face Recognition Method Using Geometric Features

2010 2nd International Workshop on Intelligent Systems and Applications, 2010

In this work, we present a 3D face recognition method which utilizes 3D facial geometric features. Compared with some other relative methods our method does not need to accurately locate facial points, only nose tip should be detected. Geometric distance among the points around nose tip is calculated to represent the facial geometry. Our recognition process takes two steps. In ...


Matching and registration method for remote sensing images

1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 1995

The paper describes a general purpose algorithm for registration and matching of remote sensing images using a least square fitting procedure based on a modified Besl algorithm [Besl and Mckey, 1992]. An example from the Ottawa 1 area illustrates the procedure.


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Educational Resources on Iterative closest point algorithm

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IEEE-USA E-Books

  • Preliminary Results on Instantaneous UAV-Based 3D Mapping for Rescue Applications

    This report presents a novel approach to generate a 3D map with an UAV while flying over a disaster scene with the aim to present the map instantaneously to the operator and the rescue workers. Our approach extends the well-known ICP algorithm.

  • Residual stress of graphene-based MEMS ICP piezoresistive pressure sensors

    Thin diaphragm play an important role in highly sensitive MEMS piezoresistive pressure sensor for intracranial pressure measurement. The thinness of graphene was utilized in this pressure sensor to maximize the sensitivity of the ICP pressure sensor. However a very thin diaphragm can cause a pressure nonlinearity performance problem due to the residual stresses. This present paper study the effect of residual stress due to different number of graphene layers on MEMS intracranial (ICP) piezoresistive pressure sensor. COMSOL simulation was used to determine the pre-stressed deformed square diaphragm hence the value for residual stress of single layer and multilayer graphene can be calculated. It was found that the application of multilayer graphene can reduce the effect of residual stress on graphene based MEMS ICP piezoresistive pressure sensor. Residual stress of 1.94 × 107 Mpa was reduced to 9.72 × 103 Mpa by utilizing 20 layers of graphene. This study has suggested a simplified method to produced highly sensitive pressure sensor with reduced pressure non linearity problem by using multilayered graphene diaphragm instead of complicated single layer application method.

  • A match and merge method for 3D modeling from range images

    This paper presents a new method for combining several range images to create a complete virtual model of an object. It considers the problem of unpositioned range images which must be registered before their fusion into the final model. The proposed method relies on a modeling which preserves the topology of the range images and introduces a new view fusion algorithm that is coupled with registration. The successful operation of a modeling system that implements this method. illustrated by some examples, speaks for its applicability and practical efficiency.

  • An Efficient 3D Face Recognition Method Using Geometric Features

    In this work, we present a 3D face recognition method which utilizes 3D facial geometric features. Compared with some other relative methods our method does not need to accurately locate facial points, only nose tip should be detected. Geometric distance among the points around nose tip is calculated to represent the facial geometry. Our recognition process takes two steps. In the first step, a number of candidates are selected from the gallery according to the geometric features we extracted. In the second step, ICP algorithm is performed to match the probe with the candidates to make the final decision. We use CASIA 3D face database to evaluate our system. Experiment results demonstrate that our method is competitive with other 3D face recognition methods.

  • Matching and registration method for remote sensing images

    The paper describes a general purpose algorithm for registration and matching of remote sensing images using a least square fitting procedure based on a modified Besl algorithm [Besl and Mckey, 1992]. An example from the Ottawa 1 area illustrates the procedure.

  • 2-D electrophoresis gel registration using feature matching

    We have carried out an evaluation of feature matching algorithms and developed an automatic method of 2-D electrophoresis gel registration. We show that bi- partite graph matching is not appropriate in this context, and have used a combination of shape context and euclidian distance measures together with closest point correspondence estimation in our scheme. Our final algorithm is shown to be more robust than a recently published image intensity based method.

  • Tangible photorealistic virtual museum

    Diverse museum artifacts, such as ceramics, porcelain, and ritual bronzes, can convey a sense of a people's history and culture, time, or place. Following specific criteria about the protection, maintenance, and preservation of these artifacts ensures their proper care and restoration. Often, this means visitors must view the artifacts statically in a glass showcase, precluding any kind of physical interaction. Moreover, because of limited exhibition space, many equally precious, beautiful, and important objects in the museum's possession are unfortunately out of sight in storerooms. To make these objects more accessible, we developed a tangible photorealistic virtual museum system that lets people interact naturally and have an immersive experience with museum exhibits. Our system displays the museum's exhibits using augmented panorama (AP), a technique that enhances a panorama with object-centered image sets (OCISs), or object movies. The AP gives viewers the impression that they're touring and observing the museum's exhibits. The vision-based tangible interface lets viewers focus on a particular object in the exhibit using a handheld 3D physical control cube (PCC). The PCC lets the viewer control the AP and examine an artifact for a more detailed appreciation. With intuitive hand movements, viewers can enlarge the object and rotate it in any direction. Furthermore, the virtual AP space doesn't have the limitations of real museum space. The system lets visitors enjoy any and all of the museum's artifacts stored in the system, even if they aren't physically on exhibit in the museum.

  • Fast and robust 3D face matching approach

    We present a novel three-dimensional (3D) face matching approach in this paper. First, 3D facial scans are segmented and four feature points of each face are detected for rough alignment the by Absolute Orientation method. Then a modified Iterative Closest Point (ICP) algorithm is employed for range image registration. A Simulated Annealing (SA) based approach with the Surface Interpenetration Measure (SIM), as similarity measure, is used for final matching. Our experimental results on the Face Recognition Grand Challenge (FRGC) v2 database show that the proposed method could achieve 99% rank one recognition performance at 0.001 False Acceptance Rate (FAR) on all neutral expression with noisy data.

  • 3D registration of multi-view depth data for hand-arm pose estimation

    Human motion analysis has been applied in a wide range of applications. Specifically, hand-arm motion plays an important role in the tele-operation of a robot and in pattern analyses of human motions. However, estimations of the full pose of a human hand with the arm are challenging due to the limited recognition range and the computational cost for real-time processing. In this paper, we propose a fast and efficient solution to articulate hand-arm pose estimations for different modal depth sensors. A marker-less motion capture system is built using multiple depth sensors with different recognition areas. In the 3D registration process, a new and fast outlier rejection method is proposed. It uses the concept of skeletal consistency, which the computation time of the 3D registration process without a loss of robustness. The performance is demonstrated to assess the accuracy, the robustness and the computational cost by of the proposed system in comparison with other methods.

  • Registration method for scattered cloud data based on feature points

    Registration of scattered cloud data is an important topic in model construction. Firstly, local geometric characteristic of point clouds is expressed by point feature. Then, coarse registration is implemented based on feature points selected. By reducing search scope of matching points and accelerating search speed based on k-d tree, the conventional ICP algorithm is improved. Experiment results show that it is valid.



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