Computer vision for RGB-D sensors: Kinect and its applications [special issue intro]

Ling Shao; Jungong Han; Dong Xu; Jamie Shotton

doi:10.1109/TCYB.2013.2276144

Computer vision for RGB-D sensors: Kinect and its applications [special issue intro]

Ling Shao
, Jungong Han
, Dong Xu
, Jamie Shotton

School of Computing Sciences

Research output: Contribution to journal › Editorial › peer-review

43 Citations (Scopus)

Abstract

Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use as an off-the-shelf technology. This special issue is specifically dedicated to new algorithms and/or new applications based on the Kinect (or similar RGB-D) sensors. In total, we received over ninety submissions from more than twenty countries all around the world. The submissions cover a wide range of areas including object and scene classification, 3-D pose estimation, visual tracking, data fusion, human action/activity recognition, 3-D reconstruction, mobile robotics, and so on. After two rounds of review by at least two (mostly three) expert reviewers for each paper, the Guest Editors have selected twelve high-quality papers to be included in this highly popular special issue. The papers that comprise this issue are briefly summarized.

Original language	English
Pages (from-to)	1314-1317
Number of pages	4
Journal	IEEE Transactions on Cybernetics
Volume	43
Issue number	5
Early online date	16 Aug 2013
DOIs	https://doi.org/10.1109/TCYB.2013.2276144
Publication status	Published - 1 Oct 2013

Access to Document

10.1109/TCYB.2013.2276144

Cite this

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title = "Computer vision for RGB-D sensors: Kinect and its applications [special issue intro]",

abstract = "Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use as an off-the-shelf technology. This special issue is specifically dedicated to new algorithms and/or new applications based on the Kinect (or similar RGB-D) sensors. In total, we received over ninety submissions from more than twenty countries all around the world. The submissions cover a wide range of areas including object and scene classification, 3-D pose estimation, visual tracking, data fusion, human action/activity recognition, 3-D reconstruction, mobile robotics, and so on. After two rounds of review by at least two (mostly three) expert reviewers for each paper, the Guest Editors have selected twelve high-quality papers to be included in this highly popular special issue. The papers that comprise this issue are briefly summarized.",

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