Special Issue on RGB-D Vision: Methods and Applications Call for Papers

IEEE Transactions on Pattern Analysis and Machine Intelligence

Call for Papers

Special Issue on RGB-D Vision: Methods and Applications

RGB-D vision is an emerging research topic in computer vision, with
a number of applications in robotics, entertainment, biometrics and
multimedia. Compared to 2D images and 3D data (including depth images,
point clouds and meshes), RGB-D images represent both the photometric
and geometric information of a scene. Moreover, low-cost consumer
depth cameras (e.g., Microsoft Kinect v2, Intel Realsense, Orbbec Astra)
can enable real-time applications due to their acquisition frame-rate.
In the last few years, a large number of RGB-D datasets has been publicly
released aimed at various vision tasks. Although remarkable progress has
been achieved in this area, RGB-D data still pose challenges to the computer
vision community due to the typically high noise and poor quality of retrieved
depth data. The need for more contributions is also motivated by a number of
emerging applications in the field of robotics, augmented reality, and
autonomous driving.

The aim of this special issue is to showcase state-of-the-art results
and to provide a cross-fertilization ground for stimulating discussions
on the next steps in the area of RGB-D vision. We welcome contributions
of novel work in RGB-D vision, as well as its applications in different areas.

The topics of interest include, but are not limited to, the following RGB-D vision tasks:
*         Semantic segmentation
*         Appearance modeling
*         Representation learning, feature detection and description
*         3D modeling and scene reconstruction
*         RGB-D simultaneous localization and mapping
*         3D object detection, recognition and classification
*         3D object pose estimation and tracking
*         3D scene understanding
*         Stereo vision and RGB-D image acquisition
*         3D face detection and recognition
*         Person detection, tracking and identification
*         Action and activity recognition
*         Deep learning for RGB-D computer vision
*         Applications of RGB-D vision, e.g., robotics, augmented reality, and autonomous driving

Important Dates
*         Paper submission: September 20, 2018
*         First notification: December 20, 2018
*         Revisions due: February 20, 2019
*         Final decisions: March 20, 2019
*         Expected publication of the special issue: June, 2019

Guest Editors
*         Mohammed Bennamoun, The University of Western Australia, Australia
*         Yulan Guo, National University of Defense Technology, China
*         Federico Tombari, Technical University of Munich, Germany
*         Kamal Youcef-Toumi, Massachusetts Institute of Technology, USA
*         Ko Nishino, Drexel University, USA

Paper Submission and Review
*         Papers should be well aligned with the theme of the special issue
*         Papers should be submitted online through the PAMI manuscript
          central site, with a note designating the manuscript for this special issue
*         Peer reviewing will follow the standard IEEE review process,
          full length manuscripts are expected to follow the TPAMI guidelines.
*         Mohammed Bennamoun
The University of Western Australia, Australia
Email: mohammed.bennamoun@uwa.edu.au

*         Yulan Guo
National University of Defense Technology, China
Institute of Computing Technology, Chinese Academy of Sciences, China.
Email: yulan.guo@nudt.edu.cn, yulan.guo@vipl.ict.ac.cn