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Introduction to the special issue on visual understanding and applications with RGB-D cameras

Journal Article


Abstract


  • The prevalence of affordable RGB-D cameras, such as

    Microsoft’s Kinect and ASUS’s Xtion Pro Live, is driving a revolution

    of the landscape of computer vision and its related researches. The

    pixel-level depth and color information provided by an RGB-D

    camera not only enables robust vision applications but also opens

    up new research problems and opportunities across a wide range

    of areas including 3D perception, robotics, human machine interactions,

    intelligent surveillance, and health care. With the depth

    information, many intractable computer vision problems are

    becoming possible, but they are by no means solved. New visual

    representations and paradigms are needed to effectively leverage

    the new sensors and develop robust vision systems. Since the first

    release of Microsoft Kinect sensors in November 2010, we have

    witnessed a rapid growth of research in visual understanding and

    applications with RBG-D cameras. This special issue brings together

    the most recent advances in this direction. There are 19 high

    quality papers covering various aspects of RGB-D camera based visual

    understanding including human action recognition, pose and

    gait recognition, object recognition, segmentation, tracking, sensor

    fusion, and novel applications. From these papers, the readers will

    obtain an excellent understanding on the state of the art of this

    new research area.

UOW Authors


  •   Liu, Zicheng (external author)
  •   Beetz, Michael (external author)
  •   Cremers, Daniel (external author)
  •   Gall, Juergen (external author)
  •   Li, Wanqing
  •   Pangercic, Dejan (external author)
  •   Sturm, Juergen (external author)
  •   Tai, Yu-Wing (external author)

Publication Date


  • 2014

Citation


  • Liu, Z., Beetz, M., Cremers, D., Gall, J., Li, W., Pangercic, D., Sturm, J. & Tai, Y. (2014). Introduction to the special issue on visual understanding and applications with RGB-D cameras. Journal of Visual Communication and Image Representation, 25 (1), 1-1.

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3061

Number Of Pages


  • 0

Start Page


  • 1

End Page


  • 1

Volume


  • 25

Issue


  • 1

Place Of Publication


  • http://www.sciencedirect.com.ezproxy.uow.edu.au/science/article/pii/S1047320313001454

Abstract


  • The prevalence of affordable RGB-D cameras, such as

    Microsoft’s Kinect and ASUS’s Xtion Pro Live, is driving a revolution

    of the landscape of computer vision and its related researches. The

    pixel-level depth and color information provided by an RGB-D

    camera not only enables robust vision applications but also opens

    up new research problems and opportunities across a wide range

    of areas including 3D perception, robotics, human machine interactions,

    intelligent surveillance, and health care. With the depth

    information, many intractable computer vision problems are

    becoming possible, but they are by no means solved. New visual

    representations and paradigms are needed to effectively leverage

    the new sensors and develop robust vision systems. Since the first

    release of Microsoft Kinect sensors in November 2010, we have

    witnessed a rapid growth of research in visual understanding and

    applications with RBG-D cameras. This special issue brings together

    the most recent advances in this direction. There are 19 high

    quality papers covering various aspects of RGB-D camera based visual

    understanding including human action recognition, pose and

    gait recognition, object recognition, segmentation, tracking, sensor

    fusion, and novel applications. From these papers, the readers will

    obtain an excellent understanding on the state of the art of this

    new research area.

UOW Authors


  •   Liu, Zicheng (external author)
  •   Beetz, Michael (external author)
  •   Cremers, Daniel (external author)
  •   Gall, Juergen (external author)
  •   Li, Wanqing
  •   Pangercic, Dejan (external author)
  •   Sturm, Juergen (external author)
  •   Tai, Yu-Wing (external author)

Publication Date


  • 2014

Citation


  • Liu, Z., Beetz, M., Cremers, D., Gall, J., Li, W., Pangercic, D., Sturm, J. & Tai, Y. (2014). Introduction to the special issue on visual understanding and applications with RGB-D cameras. Journal of Visual Communication and Image Representation, 25 (1), 1-1.

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3061

Number Of Pages


  • 0

Start Page


  • 1

End Page


  • 1

Volume


  • 25

Issue


  • 1

Place Of Publication


  • http://www.sciencedirect.com.ezproxy.uow.edu.au/science/article/pii/S1047320313001454