Computer Vision for 3D Perception and Applications Call for Papers

Journal: MPDI Sensors (3.03 IF)
Computer Vision for 3D Perception and Applications

Deadline for manuscript submissions: 31 December 2020.  More details

Effective 3D perception of the environment greatly enriches the
knowledge of the surrounding environment and is crucial to effectively
develop high-level applications for various purposes. Pivotal to 3D
perception is the acquisition/estimation of reliable depth
information: a task for which several technologies exist, ranging
from active sensors (e.g., Time-of-Flight devices) to passive cameras,
coupled with a variety of different techniques allowing for depth
estimation from images (stereo matching, structure from motion, and
more).  From an accurate reconstruction of the surrounding 3D scene,
several complex problems can be addressed, such as autonomous
navigation and localization, tracking, surveillance, robotics,
interaction with other agents, and manipulation of the sensed
environment. In this field as well, the recent advances in deep
learning have rapidly found place and spread.  The aim of this Special
Issue is to present both techniques to reliably acquire 3D data and to
tackle computer vision tasks by exploiting this information, exploring
novel solutions for perception, as well as for applications.

This Special Issue invites contributions in the following topics (but
is not limited to these):

    Depth from images
    Binocular and multi-view stereo
    Active depth sensing
    Single image depth estimation
    3D reconstruction scene understanding
    RGB-D computer vision
    3D pose estimation
    tracking and recognition
    3D motion estimation
    3D semantic segmentation
    Applications of 3D vision (e.g., robotics, augmented reality)




Dr. Matteo Poggi
Prof. Dr. Thomas Moeslund
Guest Editors