Augmented Reality, Virtual Reality & Semantic 3D Reconstruction

Dear Colleagues,

Augmented Reality is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs. Enter augmented reality (AR) technology, which can be used to visualize data from hundreds of sensors simultaneously, overlaying relevant and actionable information over your environment through a headset. Semantic 3D reconstruction makes AR technology much promising, with much more semantic information. Although, there are several methods currently available as post-processing approaches to extract semantic information from the reconstructed 3D models, the obtained results are uncertainty, and are evenly incorrect. Thus, it is necessary to explore or develop a novel 3D reconstruction approach to automatic recover 3D geometry model and obtained semantic information in simultaneous.

The rapid advent of deep learning brought new opportunities to the filed of semantic 3D reconstruction from photo collections. Deep learning-based methods are not only able to extract semantic information but also can be used to enhance some fundamental techniques in semantic 3D reconstruction, those fundamental techniques include feature matching or tracking, stereo matching, camera pose estimation, and multi-view stereo. Moreover, deep learning techniques can be used to extract priors from photo collections, the obtained information in turn can improve the quality of 3D reconstruction.

The aim of this Special Issue is to provide a platform for researchers to share the innovative work in the filed of semantic 3D reconstruction, virtual reality, and augmented reality, including deep learning-based approaches to 3D reconstruction, and software platforms of deep learning for virtual reality and augmented reality.

This special section will focus on (but not limited to) the following topics:

• Virtual reality
• Augmented reality
• Semantic 3D reconstruction
• Color transfer in virtual reality
• Color consistency in augmented reality
• Feature detection and matching in 3D reconstruction
• Dynamic Simultaneous Localization and Mapping
• Large-scale Structure from Motion
• Augmented reality software platform
• Virtual reality hardware platform
• Applications include Cultural Heritage, Environmental recording, etc.

Dr. Zhihan Lv

Dr. Jing-Yan Wang
Prof. Neeraj Kumar
Prof. Jaime Lloret Mauri
Guest Editors

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