Deep Learning for Panoramic Vision on Mobile Devices

in Special Issue   Posted on June 5, 2020 

Information for the Special Issue

Submission Deadline: Sat 01 Aug 2020
Journal Impact Factor : 3.103
Journal Name : Image and Vision Computing
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Deep Learning for Panoramic Vision on Mobile Devices

In the last few years, remarkable progress was made with mobile consumer devices. Modern smartphones and tablet computers offer multi-core processors and graphics processing cores which open up new application possibilities such as deep learning-based computer vision tasks.

Deep learning has received much attention from the communities of computer vision and computer graphics due to its excellent representativeness for images. With the development of deep learning theory and technology, the performance of computer vision algorithms including object detection and tracking, face recognition, and 3D reconstruction have made tremendous progress. However, computer vision technology relies on the valid information from the input image and video, and the performance of the algorithm is essentially constrained by the quality of source image/video.

Panorama plays important role in capturing large-scale dynamic scenes for both macro and micro domains. Benefited from the recent progress of panoramic cameras, the capture of panoramic image/video becomes more and more convenient. In particular, along with the emergence of panoramic image/video, the corresponding computer vision tasks remain unsolved, due to the extremely high-resolution, large-scale, huge-data that induced by the panoramic camera. Moreover, with development of mobile devices (mobile phones with GPU), their computing power become more and more powerful. However, the research computer vision technology on mobile devices is relatively backward, especially panorama-based computer vision technology.

As a result, the recent diffusion of deep learning and the development of modern mobile devices have encouraged computer vision community to explore new solutions for panorama-based computer vision tasks on mobile devices. This special session aims to bring the latest results over advanced deep learning techniques for panoramic vision on mobile devices. It can help technicians to exchange the latest technical progresses.

Topics include, but are not limited to:

  • Deep learning on mobile devices
  • Feature tracking for panoramic image
  • Panorama-based visual tracking on mobile devices
  • Depth-map estimation on mobile devices
  • Real-time object detection for panorama on mobile devices
  • Deep learning-based surface reconstruction on mobile devices
  • Panorama-based virtual reality for mobile devices
  • Panorama construction on mobile devices


Submission deadline: August 1, 2020

First notification: October 20, 2020

Revised Manuscript: December 20, 2020

Final notification: February 10, 2021

Guest Editors

Dr. Zhihan Lv
Professor, Qingdao University, China
Email: [email protected]

Jaime Lloret
Professor, Polytechnic University of Valencia, Spain.
Email: [email protected]

Houbing Song
Assistant Professor, Embry-Riddle Aeronautical University, USA.
Email: [email protected]

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