Conferences related to Stereo image processing

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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 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.


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Periodicals related to Stereo image processing

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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 ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Stereo image processing

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Xplore Articles related to Stereo image processing

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Region based stereo matching oriented image processing

Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991

The authors present region-based image processing algorithms participating in task sequencing for stereo vision. The algorithms described are prior to stereo matching. Requirements in image similarity provide helpful additional knowledge for their improvement. A recursive region division algorithm using a threshold method based on contrast maximization is described. The regions are processed in parallel and absorb their noise before being ...


Large-scale scene reconstruction using periscopic stereo

Proceedings. International Conference on Image Processing, 2002

Most of the existing work on three-dimensional scene reconstruction from imagery has concentrated on individual scenes or objects. Large-scale reconstruction of the surrounding scene is limited by the problems of "where to look next" and the resolution of structure parallel to the stereo baseline. Periscopic stereo is a largely forgotten concept which is able to solve both by virtue of ...


Stereo line matching based on the combination of geometric and intensity data

2009 24th International Symposium on Computer and Information Sciences, 2009

This paper presents a line matching method for the reconstruction of 3D line segment, based on geometric and intensity information. Line matching is a difficult task in the area of stereo vision, since it relies on incomplete line data. A set of line attributes is used to match a pair of 2D lines. Line attributes consist of intensity information and ...


Stabilization of an autonomous underwater vehicle relative to the sea bottom by means of the stereoscopic images processing

OCEANS 2015 - Genova, 2015

The algorithms of autonomous underwater vehicle /AUV/ motion detection and near the bottom stabilization based on stereoscopic images processing are considered in the paper. The approach is based on detection of the same objects on the consecutive frames and their joint displacement calculation. Some results of the real underwater image processing and considered algorithms operation onboard of small sized AUV ...


Image segmentation via functionals based on boundary functions

Proceedings of 3rd IEEE International Conference on Image Processing, 1996

A general variational framework for image approximation and segmentation is introduced in which the boundary function has a simple explicit form in terms of the approximation function. At the same time, this variational framework is general enough to include the most commonly used objective functions. Since the optimal boundary function, that minimizes the associated objective functional for a given approximation ...


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Educational Resources on Stereo image processing

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IEEE-USA E-Books

  • Region based stereo matching oriented image processing

    The authors present region-based image processing algorithms participating in task sequencing for stereo vision. The algorithms described are prior to stereo matching. Requirements in image similarity provide helpful additional knowledge for their improvement. A recursive region division algorithm using a threshold method based on contrast maximization is described. The regions are processed in parallel and absorb their noise before being thresholded. Subsequent morphological processes improve similarity and matching results. Additional knowledge is produced by analytical processes, and is useful for both segmentation and match control. Results are presented for a stereo pair of gray-level images.<<ETX>>

  • Large-scale scene reconstruction using periscopic stereo

    Most of the existing work on three-dimensional scene reconstruction from imagery has concentrated on individual scenes or objects. Large-scale reconstruction of the surrounding scene is limited by the problems of "where to look next" and the resolution of structure parallel to the stereo baseline. Periscopic stereo is a largely forgotten concept which is able to solve both by virtue of its unique imaging geometry and the appropriate application of image processing and computer vision techniques. This paper discusses the large-scale reconstruction of the surrounding scene with applications to remote exploration by autonomous robotic vehicles.

  • Stereo line matching based on the combination of geometric and intensity data

    This paper presents a line matching method for the reconstruction of 3D line segment, based on geometric and intensity information. Line matching is a difficult task in the area of stereo vision, since it relies on incomplete line data. A set of line attributes is used to match a pair of 2D lines. Line attributes consist of intensity information and geometric information including length, orientation, and endpoint position. For the implementation of the proposed matching method, we employ multi-threshold technique, which provides flexible and efficient matching capability. The experimental results show that the rate of the correct match comes up with 96.12%, which is very hard to be achieved in the complex scene used in the experiment.

  • Stabilization of an autonomous underwater vehicle relative to the sea bottom by means of the stereoscopic images processing

    The algorithms of autonomous underwater vehicle /AUV/ motion detection and near the bottom stabilization based on stereoscopic images processing are considered in the paper. The approach is based on detection of the same objects on the consecutive frames and their joint displacement calculation. Some results of the real underwater image processing and considered algorithms operation onboard of small sized AUV during the pool trials are supplemented.

  • Image segmentation via functionals based on boundary functions

    A general variational framework for image approximation and segmentation is introduced in which the boundary function has a simple explicit form in terms of the approximation function. At the same time, this variational framework is general enough to include the most commonly used objective functions. Since the optimal boundary function, that minimizes the associated objective functional for a given approximation function, can be found explicitly, the objective functional can be expressed in a reduced form that depends only on the approximating function. From this a partial differential equation descent method, aimed at minimizing the objective functional, is derived. The method is fast and produces excellent results as illustrated by a number of real and synthetic image problems.

  • Seam carving for stereo images

    We propose a content-preserving stereo image editing technique by using stereo extension of seam carving. Seam carving is the process of deleting or duplicating connected paths, or seams, that consist of less important pixels in order to resize the image while preserving the image content as much as possible. The problem targeted in this paper is how to apply the seam carving method to a pair of stereo images, where the consistency between the left and right images should also be preserved through the seam carving process. For this consistency, we introduce new energy terms. Based on these energy terms, seam pairs between the input images are classified into two types, corresponding seams in order to maintain consistency or occluded seams to change the consistency intentionally. The novelty of this paper is that stereo matching results are fused into the framework in the seam carving. We demonstrate that by selecting seams in an appropriate way we can virtually manipulate the depths of objects in the scene.

  • Building 3D facial models and detecting face pose in 3D space

    A segment-based stereo vision system has been modified to reconstruct 3D facial models. Because usually it is difficult to get enough edges to reconstruct a 3D facial model with edge-based stereo algorithms, most research on 3D face model is based on correlation stereo algorithms, even though these algorithms are often time-consuming. We present a fast 3D face reconstruction algorithm using isoluminance lines from stereo images, which is effective even when only a few edges can be detected. We also introduced very efficient algorithm do search for irises in 3D space, which can then be used to identify the face position and direction. Our experiments show that our 3D facial model is suitable for 3D face recognition.

  • Improvement of stereoscopic video by reducing the visual discomfort

    Commercially, there are many 3D displays with different resolutions. For this, stereoscopic contents are needed to propagate the displays to commercial markets. For the reduction of production costs, fixed contents are made and used to such displays without any post-production. For instance, it is true that same contents for large-screen are used to small-size screen such as mobile devices. In this case, it is well known that 3D effect is reduced due to the different display resolutions, causing visual discomfort. For this, this paper presents a method of improving the stereoscopic perception according to display resolutions. For the test, 2D+Depth approach is adopted. For this, depth planes are derived based on a depth histogram based on manual operations. By adjusting depth planes, a new depth map is made. Then 2D+Depth produces a stereoscopic image. Experiments performed on various 2D+Depth images validate that the proposed methods deliver more enhanced 3D depth based on subjective evaluation experiments.

  • Efficient uncalibrated rectification method for stereo vision systems

    Along with the rapid development of stereoscopic cinematography in the last few years, efficient 3D video diagnostic tools are increasingly in demand. The tools dedicated for real-time video analysis and assessment directly on the movie set are aimed at facilitation, acceleration and cost-cutting of movie production. It causes the growing interest in development of high-performance and reliable algorithms for stereoscopic video processing. One of the algorithms strictly related to 3D video processing is image rectification. It is aimed at transformation of the stereopair images in such a way that epipolar lines are horizontal and match up between views. The rectification is often a required preprocessing step for depth estimation algorithms because it simplifies searching for matching points in stereo images. The paper presents an overview and comparison of image rectification methods for the application in real-time diagnostic tools for stereoscopic cinematography. It also describes the implementation and evaluation of the rectification algorithm based on [1] that has been finally selected for the needs of diagnostic tool for stereo rig calibration and disparity map estimation developed by the authors. Described algorithm ensures very accurate image alignment and minimization of vertical disparity for the needs of disparity map calculation. Moreover, it is resistant to lens distortions in input image and does not introduce significant distortions in output image preserving the original viewpoint of the cameras.

  • Stereo visual servo of robot manipulators by estimated image features without 3D reconstruction

    A new visual servo system using estimated image features on the stereo image plane without 3D reconstruction is proposed. In visual servo systems, the sampling period of the image processing is longer than that of manipulator control. In order to compensate for the image processing delay, image features having no delays are estimated on the stereo image plane from the image Jacobian matrix and deviation of the joint angles of the robot manipulators. The visual servo system carries out all processes only on the stereo image plane in real time without an inner loop controller and 3D reconstruction, i.e., a torque reference is generated from position, velocity, and acceleration commands on the stereo image plane. Therefore, it is possible to control manipulators quickly and precisely and to decrease the complex process of 3D reconstruction. Results of position control using a three joint manipulator in the stereo image plane are presented.



Standards related to Stereo image processing

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