CfP: Special Issue “Computer Vision for 3D Perception and Applications”, MDPI Sensors

Dear colleagues,

I hope all of you are safe and healthy. This email is to invite you to consider the following Special Issue on “Computer Vision for 3D perception and applications”.

Journal: MPDI Sensors (3.03 IF)

Deadline for manuscript submissions: 31 December 2020.
More details at: https://www.mdpi.com/journal/sensors/special_issues/computer_vision_3D_perception

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)

 

Sincerely,

 

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

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