Conferences related to Bundle Adjustment

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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.


2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)

The aim of the conference will be to bring together the majority of leading expert scientists, thought leaders and forward looking professionals from all domains of Intelligent Transportation Systems, to share ongoing research achievements, to exchange views and knowledge and to contribute to the advances in the field. The main theme of the conference will be “ITS within connected, automated and electric multimodal mobility systems and services”.


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 Multimedia and Expo (ICME)

Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.

  • 2019 IEEE International Conference on Multimedia and Expo (ICME)

    speech, audio, image, video, text and new sensor signal processingsignal processing for media integration3D imaging, visualization and animationvirtual reality and augmented realitymulti-modal multimedia computing systems and human-machine interactionmultimedia communications and networkingmedia content analysis and searchmultimedia quality assessmentmultimedia security and content protectionmultimedia applications and servicesmultimedia standards and related issues

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to: – Speech, audio, image, video, text and new sensor signal processing – Signal processing for media integration – 3D visualization and animation – 3D imaging and 3DTV – Virtual reality and augmented reality – Multi-modal multimedia computing systems and human-machine interaction – Multimedia communications and networking – Media content analysis – Multimedia quality assessment – Multimedia security and content protection – Multimedia databases and digital libraries – Multimedia applications and services – Multimedia standards and related issues

  • 2016 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to:- Speech, audio, image, video, text and new sensor signal processing- Signal processing for media integration- 3D visualization and animation- 3D imaging and 3DTV- Virtual reality and augmented reality- Multi-modal multimedia computing systems and human-machine interaction- Multimedia communications and networking- Media content analysis- Multimedia quality assessment- Multimedia security and content protection- Multimedia databases and digital libraries- Multimedia applications and services- Multimedia standards and related issues

  • 2015 IEEE International Conference on Multimedia and Expo (ICME)

    With around 1000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2014 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications. In 2014, an Exposition of multimedia products, prototypes and animations will be held in conjunction with the conference.Topics of interest include, but are not limited to:

  • 2013 IEEE International Conference on Multimedia and Expo (ICME)

    To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2012 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE Societies. It exchanges the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2011 IEEE International Conference on Multimedia and Expo (ICME)

    Speech, audio, image, video, text processing Signal processing for media integration 3D visualization, animation and virtual reality Multi-modal multimedia computing systems and human-machine interaction Multimedia communications and networking Multimedia security and privacy Multimedia databases and digital libraries Multimedia applications and services Media content analysis and search Hardware and software for multimedia systems Multimedia standards and related issues Multimedia qu

  • 2010 IEEE International Conference on Multimedia and Expo (ICME)

    A flagship multimedia conference sponsored by four IEEE societies, ICME serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2009 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2008 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2007 IEEE International Conference on Multimedia and Expo (ICME)

  • 2006 IEEE International Conference on Multimedia and Expo (ICME)

  • 2005 IEEE International Conference on Multimedia and Expo (ICME)

  • 2004 IEEE International Conference on Multimedia and Expo (ICME)

  • 2003 IEEE International Conference on Multimedia and Expo (ICME)

  • 2002 IEEE International Conference on Multimedia and Expo (ICME)

  • 2001 IEEE International Conference on Multimedia and Expo (ICME)

  • 2000 IEEE International Conference on Multimedia and Expo (ICME)


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Periodicals related to Bundle Adjustment

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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.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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 ...


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


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Most published Xplore authors for Bundle Adjustment

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Xplore Articles related to Bundle Adjustment

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Structure from motion for 3D object reconstruction based on local and global bundle adjustment

2015 Third World Conference on Complex Systems (WCCS), 2015

Structure from motion approach allows to recover both the 3D structure of the scene and the camera motion. It uses a global bundle adjustment by minimizing a non-linear criterion (often through the use of the Levenberg-Marquardt algorithm) to adjust the various entities initially estimated, which requires a long calculation time and can converge to a local solution due to a ...


Research on bundle adjustment for visual SLAM under large-scale scene

2017 4th International Conference on Systems and Informatics (ICSAI), 2017

As the scene becomes larger, the cumulative error of Simultaneous Localization And Mapping (SLAM) will increase. In order to reduce the error, the back-end of slam system includes Local Bundle Adjustment (LBA) and Global Bundle Adjustment (GBA). LBA is mainly to optimize the pose of key-frames and landmarks which are in local map, thereby reducing the cumulative error. On the ...


Fast Automatic Differentiation for Large Scale Bundle Adjustment

IEEE Access, 2018

A parallelized implementation of automatic differentiation that derives from the problem of bundle adjustment is proposed in this paper. Reverse mode of automatic differentiation is more efficient to compute the derivatives of functions with n real-value parameters, which is the case of computing the Jacobian matrix in bundle adjustment problem. By reason of a large number of small derivative computing ...


A Reliable Matching Algorithm Based on the Rational Function Model Bundle Adjustment for Satellite Imagery

2011 International Conference on Intelligence Science and Information Engineering, 2011

Aim to the practical problem of high-resolution imagery automatic matching, the paper proposes a reliable matching algorithm based on the rational function model bundle adjustment, the basic idea of which is the introduction of the rational function model bundle adjustment to the pyramid image matching, this will establish the geometric relationship between images, and realize the accurate prediction of matching ...


A 5-Parameter Bundle Adjustment Method for Image Mosaic

2009 Eighth IEEE/ACIS International Conference on Computer and Information Science, 2009

A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D ...


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Educational Resources on Bundle Adjustment

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IEEE-USA E-Books

  • Structure from motion for 3D object reconstruction based on local and global bundle adjustment

    Structure from motion approach allows to recover both the 3D structure of the scene and the camera motion. It uses a global bundle adjustment by minimizing a non-linear criterion (often through the use of the Levenberg-Marquardt algorithm) to adjust the various entities initially estimated, which requires a long calculation time and can converge to a local solution due to a bad initialization. In this paper, we used the Structure from Motion approach for 3D object reconstruction from images taken by a single camera moving around the object. The proposed approach is based on the combination of the local bundle adjustment (LBA) and the global bundle adjustment (GBA) which is very useful to ensure effective and rapid convergence to the optimal solution. Our reconstruction system is initialized from two calibrated images. After each insertion of a new uncalibrated Image, we integrate a LBA to adjust the new estimated parameters and avoid as much as possible the accumulation of errors which can affect the system's stability. After the insertion of the last image, a GBA is performed to adjust as best as possible all the estimated entities already refined locally (3D points and camera parameters). Experimental results show the reliability and rapidity of the proposed approach compared to the classical approach.

  • Research on bundle adjustment for visual SLAM under large-scale scene

    As the scene becomes larger, the cumulative error of Simultaneous Localization And Mapping (SLAM) will increase. In order to reduce the error, the back-end of slam system includes Local Bundle Adjustment (LBA) and Global Bundle Adjustment (GBA). LBA is mainly to optimize the pose of key-frames and landmarks which are in local map, thereby reducing the cumulative error. On the other hand, GBA will optimize all pose of cameras and landmarks in map. However, the number of cameras and landmarks is particularly high, so there are bottlenecks in both memory and efficiency. As to LBA, this paper proposes a new method of screening key-frames and map points, so that the number of key-frames and map points will be as few as possible, while the accuracy of the slam system is high. On the other hand, for GBA, this paper presents a new segmentation strategy for the segmented BA optimization methods to improve the efficiency of optimization and reduce memory consumption.

  • Fast Automatic Differentiation for Large Scale Bundle Adjustment

    A parallelized implementation of automatic differentiation that derives from the problem of bundle adjustment is proposed in this paper. Reverse mode of automatic differentiation is more efficient to compute the derivatives of functions with n real-value parameters, which is the case of computing the Jacobian matrix in bundle adjustment problem. By reason of a large number of small derivative computing tasks being needed in bundle adjustment problem, we implement an automatic differentiation library based on operator overloading and OpenCL parallel framework. In order to parallelize the computation in the framework of OpenCL, we generate forward and reverse computational sequences from computational graph by topological sorting. This library enables us to write down the function formula elegantly and then evaluate the derivatives rapidly and automatically. Finally, large scale bundle adjustment data sets is used to evaluate our proposed implementation. The result shows that our implementation runs about 3.6 times faster than Ceres Solver, which utilizes OpenMP parallel programming model.

  • A Reliable Matching Algorithm Based on the Rational Function Model Bundle Adjustment for Satellite Imagery

    Aim to the practical problem of high-resolution imagery automatic matching, the paper proposes a reliable matching algorithm based on the rational function model bundle adjustment, the basic idea of which is the introduction of the rational function model bundle adjustment to the pyramid image matching, this will establish the geometric relationship between images, and realize the accurate prediction of matching points' initial position, fast matching with epipolar line constrained and rough geometric correction, and the elimination of error matching points. Refine matching layer by layer, and finally using the least squares matching algorithm to obtain the matching result of the sub-pixel level. Experiment has been made on the World View satellite imagery of Qinghai province in China, and it has shown that the method proposed in this paper can effectively overcome the impact of image radiation distortion, image rotation and some geometric deformation and so on, achieving the automatic and reliable conjugate point matching of satellite remote sensing imagery.

  • A 5-Parameter Bundle Adjustment Method for Image Mosaic

    A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition.

  • Reduced keyframes for fast bundle adjustment using point and line features in monoslam

    Visual Simultaneous Localization and Mapping (VSLAM) requires feature detection on visual data. In indoor scenes that include architectures such as plain walls and doors, there are no or less corners detected, in such cases tracking will be lost. To overcome this situation we track different types of features that help in feature extraction even in textureless scenes. Line features are used to get the outline of the structure. This paper explains method of line based localization when no point features are detected and process of mapping the matched lines between two frames. One of the existing state of art monocular SLAM that extracts point features only, is used as the main build and LBD (Line Band Descriptor) is incorporated in it for localization and mapping. Our new system extracts more features compared to the existing system and complexity of the bundle adjustment is decreased as it decreases the keyframes selected for local mapping and optimization when tested using our own dataset and compared with the existing system.

  • Fast Odometry Integration in Local Bundle Adjustment-Based Visual SLAM

    The Simultaneous Localisation And Mapping (SLAM) for a camera moving in a scene is a long term research problem. Here we improve a recent visual SLAM which applies Local Bundle Adjustments (LBA) on selected key-frames of a video: we show how to correct the scale drift observed in long monocular video sequence using an additional odometry sensor. Our method and results are interesting for several reasons: (1) the pose accuracy is improved on real examples (2) we do not sacrifice the consistency between the reconstructed 3D points and image features to fit odometry data (3) the modification of the original visual SLAM method is not difficult.

  • Weighted bundle adjustment method in optical measurement system

    The measuring accuracy of optical measurement system can be improved by reasonable weighted bundle adjustment technique. In this paper, weighted bundle adjustment techniques have been reviewed, and then a robust weighted bundle adjustment has been provided. In every iteration, image points with big error were removed firstly by statistical analysising the residual error, then sectional weighted bundle adjustment have been carried out considering the significance level of correction. Real experiments show that the method we provided can remove image points with big error effectively, and can achieve more robust results than Helmert weighted method, selecting weight iteration method and backprojection weighted method.

  • Fast Incremental Bundle Adjustment with Covariance Recovery

    Efficient algorithms exist to obtain a sparse 3D representation of the environment. Bundle adjustment (BA) and structure from motion (SFM) are techniques used to estimate both the camera poses and the set of sparse points in the environment. Many applications require such reconstruction to be performed online, while acquiring the data, and produce an updated result every step. Furthermore, using active feedback about the quality of the reconstruction can help selecting the best views to increase the accuracy as well as to maintain a reasonable size of the collected data. This paper provides novel and efficient solutions to solving the associated NLS incrementally, and to compute not only the optimal solution, but also the associated uncertainty. The proposed technique highly increases the efficiency of the incremental BA solver for long camera trajectory applications, and provides extremely fast covariance recovery.

  • Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment

    Without knowledge of the absolute baseline between images, the scale of a map from a single-camera simultaneous localization and mapping system is subject to calamitous drift over time. We describe a monocular approach that in addition to point measurements also considers object detections to resolve this scale ambiguity and drift. By placing an expectation on the size of the objects, the scale estimation can be seamlessly integrated into a bundle adjustment. When object observations are available, the local scale of the map is then determined jointly with the camera pose in local adjustments. Unlike many previous visual odometry methods, our approach does not impose restrictions such as constant camera height or planar roadways, and is therefore more widely applicable. We evaluate our approach on the KITTI data set and show that it reduces scale drift over long-range outdoor sequences with a total length of 40 km. As the scale of objects is known absolutely, metric accuracy is obtained for all sequences. Qualitative evaluation is also performed on video footage from a hand-held camera.



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