# Special Issue on \"Augmented Reality, Virtual Reality & Semantic 3D Reconstruction\"
## 2 Augmented Reality, Virtual Reality and Semantic 3D Reconstruction
[12] present a super-resolution method for reconstructing a high resolution 3D face model from a low resolution 3D face model acquired from a consumer depth camera. They evaluated the method both qualitatively and quantitatively, and the experimental results validate their method. Personalized production is moving the progress of industrial automation forward, and demanding new tools for improving the decision-making of the operators. In [13], the author presents a new, projection-based augmented reality system for assisting operators during electronic component assembly processes. The paper describes both the hardware and software solutions, and depicts the results obtained during a usability test with the new system. Lip reading recognition is a new technology in the field of human-computer interaction. It is particularly important in a noisy environment and within the hearing-impaired population. This information is a visual language that benefits from Augmented Reality (AR). [PERSON] and [PERSON] [14] implemented the mobile end lip-reading recognition system based on Raspberry Pi for the first time, and the recognition application has reached the latest level of their research. Proved by experimental results, their model has fewer parameters and lower complexity. The accuracy of the model in the test dataset is 86.5%. Augmented reality (AR) has evolved hand in hand with advances in technology, and today is considered as an emerging technique in its own right. The aim of the study in [15] was to analyze students' perceptions of how useful AR is in the school environment. During the study, a teaching proposal using AR related to the content of some curricular areas was put forward in the framework of the 3P learning model. The participants' perceptions of this technique were analyzed according to each variable, both overall and by gender, via a questionnaire. The initial results indicate that this technique is, according to the students, useful for teaching the curriculum. The conclusion is that AR can increase students' motivation and enthusiasm while enhancing teaching and learning at the same time. Recently, associations between the release of scents to the visual content of the scenario has been studied. [PERSON] [16] proposed an approach that combines audio and visual contents to automatically trigger scents through an olfactory device using deep learning techniques. The proposed approach can be applied to different virtual environments as long as scents can be associated with visual and auditory content. [PERSON] et al. [17] develop a construction hazard investigation system leveraging object anatomization on an Interactive Augmented Photoreality platform (iAPR). A prototype is developed and evaluated objectively through interactive system trials with educators, construction professionals, and learners. The findings demonstrate that the iAPR platform has significant pedagogic methods to improve learners' construction hazard investigation knowledge and skills, which improve safety performance. Feature tracking in image collections significantly affects the efficiency and accuracy of Structure from Motion (SFM). Insufficient correspondences may cause errors. In [18], the author presents a Superpixel-based feature tracking method for structure from motion. The experimental results show that the proposed method achieves better performance with respect to the state of the art methods. The present study in [19] focuses on determining the performance and scientific production of augmented reality in higher education (ARHE). A total of 552 scientific publications on the Web of Science (WoS) have been analyzed. The results show that scientific productions on ARHE are not abundant; the main limitation of the study is that the results only reveal the status of this issue in the WoS database. [PERSON], [PERSON], [PERSON] and [PERSON] all participated in the review of the papers published in this special issue to the same extent, and jointly supervised the quality of the papers.