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Henrik Stewénius

Henrik Stewénius

My current research interests are in scalable computer vision in general an in particular in image matching, with applications in Search By Image and Goggle Goggles. The UKY experimental data along with a more complete set of pdfs can be found at: www.vis.uky.edu/~stewe/. Some old material can be found at my old homepage in Lund.

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    Size Matters: Exhaustive Geometric Verification for Image Retrieval
    Steinar H. Gunderson
    Julien Pilet
    12th European Conference on Computer Vision (ECCV), Springer (2012), pp. 674-687
    Preview abstract The overreaching goals in large-scale image retrieval are bigger, better and cheaper. For systems based on local features we show how to get both efficient geometric verification of every match and unprecedented speed for the low sparsity situation. Large-scale systems based on quantized local features usually process the index one term at a time, forcing two separate scoring steps: First, a scoring step to find candidates with enough matches, and then a geometric verification step where a subset of the candidates are checked. Our method searches through the index a document at a time, verifying the geometry of every candidate in a single pass. We study the behavior of several algorithms with respect to index density---a key element for large-scale databases. In order to further improve the efficiency we also introduce a new new data structure, called the counting min-tree, which outperforms other approaches when working with low database density, a necessary condition for very large-scale systems. We demonstrate the effectiveness of our approach with a proof of concept system that can match an image against a database of more than 90~billion images in just a few seconds. View details
    Stereo Matching with Color-weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling
    Qingxiong Yang
    Liang Wang
    Ruigang Yang
    David Nistér
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) (2008)
    Preview
    Linear Time Maximally Stable Extremal Regions
    David Nistér
    Proc. 10th Europ. Conf. Comput. Vision (2008), pp. 183-196
    Preview
    Detailed Real-Time Urban 3D Reconstruction From Video
    M. Pollefeys
    D. Nistér
    J.-M. Frahm
    A. Akbarzadeh
    P. Mordohai
    B. Clipp
    C. Engels
    D. Gallup
    S.-J. Kim
    P. Merrell
    C. Salmi
    S. Sinha
    B. Talton
    L. Wang
    Q. Yang
    R. Yang
    G. Welch
    H. Towles
    IJCV, vol. 78 (2008), pp. 143 - 167
    A minimal solution for relative pose with unknown focal length
    F. Kahl
    D. Nistér
    F. Schaffalitzky
    Image and Vision Computing, vol. 26 (2008), pp. 871 - 877
    Binomial Mitotic Segregation of MYCN-Carrying Double Minutes in Neuroblastoma Illustrates the Role of Randomness in Oncogene Amplification
    G. Lundberg
    A. Rosengren
    Ulf Håkanson
    Y. Jin
    Y. Stewénius
    Sven Påhlman
    D. Gisselsson
    PLoS ONE, vol. 3 (2008), e3099
    Using Galois Theory to Prove that Structure from Motion Algorithms are Optimal
    D. Nistér
    R. Hartley
    CVPR (2007)
    A Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices
    C. Geyer
    CVPR (2007)
    An Efficient Minimal Solution for Infinitesimal Camera Motion
    C. Engels
    D. Nistér
    CVPR (2007)
    A Binning Scheme for Fast Hard Drive Based Image Search
    F. Fraundorfer
    D. Nistér
    CVPR (2007)
    Real-Time Video-Based Reconstruction of Urban Environments
    P. Mordohai
    J.-M. Frahm
    A. Akbarzadeh
    B. Clipp
    C. Engels
    D. Gallup
    P. Merrell
    C. Salmi
    S. Sinha
    B. Talton
    L. Wang
    Q. Yang
    H. Towles
    G. Welch
    R. Yang
    M. Pollefeys
    D. Nistér
    3D Virtual Reconstruction and Visualization of Complex Architectures (2007)
    Structure from Motion with Missing Data is NP-Hard
    David Nister
    Fredrik Kahl
    IEEE International Conference on Computer Vision (ICCV) (2007)
    Towards Urban 3D Reconstruction From Video
    A. Akbarzadeh
    J.-M. Frahm
    P. Mordohai
    B. Clipp
    C. Engels
    D. Gallup
    P. Merrell
    M. Phelps
    S. Sinha
    B. Talton
    L. Wang
    Q. Yang
    R. Yang
    G. Welch
    H. Towles
    D. Nisté
    M. Pollefeys
    Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT) (2006)
    Bundle Adjustment Rules
    C. Engels
    D. Nistér
    Photogrammetric Computer Vision (PCV) (2006)
    Recent Developments on Direct Relative Orientation
    C. Engels
    D. Nistér
    ISPRS Journal of Photogrammetry and Remote Sensing, vol. 60 (2006), pp. 284-294
    Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling
    Q. Yang
    L. Wang
    R. Yang
    D. Nistér
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2006), pp. 2347-2354
    Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?
    E. Grossmann
    E-J Lee
    P. Hislop
    D. Nistér
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2006), pp. 1222-1229
    Scalable Recognition with a Vocabulary Tree
    D. Nistér
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2006), pp. 2161-2168
    A Minimal solution to the generalized 3-point pose problem
    D. Nistér
    Journal of Mathematical Imaging and Vision (2006)
    Solutions to Minimal Generalized Relative Pose Problems
    D. Nistér
    M. Oskarsson
    K. Åström
    Workshop on Omnidirectional Vision, Beijing China (2005)
    Reconstruction from Planar Motion Image Sequences with Applications for Autonomous Vehicles
    M. Oskarsson
    K. Åström
    Scandinavian Conference on Image Analysis (SCIA), Joensuu, Finland (2005)
    Non-Parametric Self-Calibration
    D. Nistér
    E. Grossmann
    IEEE International Conference on Computer Vision (ICCV), Beijing China (2005), pp. 120-127
    How Hard is Three-View Triangulation Really?
    F. Schaffalitzky
    D. Nistér
    IEEE International Conference on Computer Vision (ICCV), Beijing China (2005), pp. 686-693
    Gröbner Basis Methods for Minimal Problems in Computer Vision
    Ph.D. Thesis (2005)
    A Minimal Solution for Relative Pose with Unknown Focal Length
    F. Kahl
    D. Nistér
    F. Schaffalitzky
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San-Diego, USA (2005), pp. 789-794
    Camera platforms for localization and map building
    M. Oskarsson
    K. Åström
    Swedish Society for Automatic Image Analysis(SSBA), Uppsala, Sweden (2004)
    Structure and Motion Problems for Multiple Rigidly Moving Cameras
    K. Åström
    European Conference on Computer Vision (ECCV), Prague , Czech Republic (2004), 238ff
    Hand-Eye Calibration using Multilinear Constraints
    K. Åström
    Asian Conference on Computer Vision (ACCV), Jeju, Korea (2004)
    Structure and Motion Problems for Multiple Rigidly Moving Cameras
    K. Åström
    Proc. 8th Europ. Conf. Comput. Vision, Prague , Czech Republic (2004), 238ff
    Studies in Mobile Camera Calibration
    Lund University (2003)
    Simplified Vehicle Calibration using Multilinear Constraints
    Scandinavian Conference on Image Analysis (SCIA), Gothenburg, Sweden (2003)
    Automatic calibration of vehicle parameters from visual data
    Swedish Society for Automatic Image Analysis(SSAB) (2002)