Improved 3D reconstruction in smart-room environments using ToF imaging

Sigurjón Árni Guðmundsson, Montse Pardas, Josep R. Casas, Jóhannes R. Sveinsson, Henrik Aanæs, Rasmus Larsen

    Research output: Contribution to journalJournal articleCommunication

    Abstract

    This paper presents the use of Time-of-Flight (ToF) cameras in smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of foreground objects. A calibrated rig consisting of one Swissranger SR3100 Time-of-Flight range camera and a high resolution standard CCD camera is set in a smart-room containing five other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette volume is reconstructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore creating a more robust input for higher level applications such as people tracking or human motion analysis.
    Original languageEnglish
    JournalComputer Vision and Image Understanding
    Volume114
    Issue number12
    Pages (from-to)1376-1384
    ISSN1077-3142
    DOIs
    Publication statusPublished - 2010

    Cite this

    Guðmundsson, Sigurjón Árni ; Pardas, Montse ; Casas, Josep R. ; Sveinsson, Jóhannes R. ; Aanæs, Henrik ; Larsen, Rasmus. / Improved 3D reconstruction in smart-room environments using ToF imaging. In: Computer Vision and Image Understanding. 2010 ; Vol. 114, No. 12. pp. 1376-1384.
    @article{6c024277e1704107b2ee2c68323d169f,
    title = "Improved 3D reconstruction in smart-room environments using ToF imaging",
    abstract = "This paper presents the use of Time-of-Flight (ToF) cameras in smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of foreground objects. A calibrated rig consisting of one Swissranger SR3100 Time-of-Flight range camera and a high resolution standard CCD camera is set in a smart-room containing five other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette volume is reconstructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore creating a more robust input for higher level applications such as people tracking or human motion analysis.",
    author = "Gu{\dh}mundsson, {Sigurj{\'o}n {\'A}rni} and Montse Pardas and Casas, {Josep R.} and Sveinsson, {J{\'o}hannes R.} and Henrik Aan{\ae}s and Rasmus Larsen",
    year = "2010",
    doi = "10.1016/j.cviu.2010.07.011",
    language = "English",
    volume = "114",
    pages = "1376--1384",
    journal = "Computer Vision and Image Understanding",
    issn = "1077-3142",
    publisher = "Academic Press",
    number = "12",

    }

    Guðmundsson, SÁ, Pardas, M, Casas, JR, Sveinsson, JR, Aanæs, H & Larsen, R 2010, 'Improved 3D reconstruction in smart-room environments using ToF imaging', Computer Vision and Image Understanding, vol. 114, no. 12, pp. 1376-1384. https://doi.org/10.1016/j.cviu.2010.07.011

    Improved 3D reconstruction in smart-room environments using ToF imaging. / Guðmundsson, Sigurjón Árni; Pardas, Montse; Casas, Josep R.; Sveinsson, Jóhannes R.; Aanæs, Henrik; Larsen, Rasmus.

    In: Computer Vision and Image Understanding, Vol. 114, No. 12, 2010, p. 1376-1384.

    Research output: Contribution to journalJournal articleCommunication

    TY - JOUR

    T1 - Improved 3D reconstruction in smart-room environments using ToF imaging

    AU - Guðmundsson, Sigurjón Árni

    AU - Pardas, Montse

    AU - Casas, Josep R.

    AU - Sveinsson, Jóhannes R.

    AU - Aanæs, Henrik

    AU - Larsen, Rasmus

    PY - 2010

    Y1 - 2010

    N2 - This paper presents the use of Time-of-Flight (ToF) cameras in smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of foreground objects. A calibrated rig consisting of one Swissranger SR3100 Time-of-Flight range camera and a high resolution standard CCD camera is set in a smart-room containing five other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette volume is reconstructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore creating a more robust input for higher level applications such as people tracking or human motion analysis.

    AB - This paper presents the use of Time-of-Flight (ToF) cameras in smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of foreground objects. A calibrated rig consisting of one Swissranger SR3100 Time-of-Flight range camera and a high resolution standard CCD camera is set in a smart-room containing five other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette volume is reconstructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore creating a more robust input for higher level applications such as people tracking or human motion analysis.

    U2 - 10.1016/j.cviu.2010.07.011

    DO - 10.1016/j.cviu.2010.07.011

    M3 - Journal article

    VL - 114

    SP - 1376

    EP - 1384

    JO - Computer Vision and Image Understanding

    JF - Computer Vision and Image Understanding

    SN - 1077-3142

    IS - 12

    ER -