The Experts below are selected from a list of 1950 Experts worldwide ranked by ideXlab platform

Sylvie Le Hégarat-mascle - One of the best experts on this subject based on the ideXlab platform.

  • Determining Epipole Location Integrity by Multimodal Sampling
    2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wear-able camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

  • AVSS - Determining Epipole Location Integrity by Multimodal Sampling
    2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wearable camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

Huiqin Chen - One of the best experts on this subject based on the ideXlab platform.

  • Determining Epipole Location Integrity by Multimodal Sampling
    2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wear-able camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

  • AVSS - Determining Epipole Location Integrity by Multimodal Sampling
    2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wearable camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

Le Hégarat-mascle Sylvie - One of the best experts on this subject based on the ideXlab platform.

  • Determining Epipole Location Integrity by Multimodal Sampling
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Chen Huiqin, Aldea Emanuel, Le Hégarat-mascle Sylvie
    Abstract:

    International audienceIn urban cluttered scenes, a photo provided by a wear-able camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches

Emanuel Aldea - One of the best experts on this subject based on the ideXlab platform.

  • Determining Epipole Location Integrity by Multimodal Sampling
    2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wear-able camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

  • AVSS - Determining Epipole Location Integrity by Multimodal Sampling
    2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019
    Co-Authors: Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-mascle
    Abstract:

    In urban cluttered scenes, a photo provided by a wearable camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches.

Chen Huiqin - One of the best experts on this subject based on the ideXlab platform.

  • Determining Epipole Location Integrity by Multimodal Sampling
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Chen Huiqin, Aldea Emanuel, Le Hégarat-mascle Sylvie
    Abstract:

    International audienceIn urban cluttered scenes, a photo provided by a wear-able camera may be used by a walking Law-Enforcement Agent as an additional source of information for localizing themselves, or elements of interest related to public safety and security. In this work, we study the problem of locating the epipole, corresponding to the position of the moving camera, in the field of view of a reference camera. We show that the presence of outliers in the standard pipeline for camera relative pose estimation not only prevents the correct estimation of the epipole localization but also degrades the standard uncertainty propagation for the epipole position. We propose a robust method for constructing an epipole location map, and we evaluate its accuracy as well as its level of integrity with respect to standard approaches