Home About the Journal Latest Work Current Issue Archive Special Issues Editorial Board

2019, Vol. 1 No. 1 Publish Date:2019-2

View Abstracts Download Citations


Reference Manager





On the launch of Virtual Reality & Intelligent Hardware

2019, 1(1) : 1-1


PDF (55) HTML (838)


Design of finger gestures for locomotion in virtual reality

2019, 1(1) : 1-9


Abstract (1865) PDF (102) HTML (1185)
Within a virtual environment (VE) the control of locomotion (e.g., self-travel) is critical for creating a realistic and functional experience. Usually the direction of locomotion, while using a head-mounted display (HMD), is determined by the direction the head is pointing and the forward or backward motion is controlled with a hand held controllers. However, hand held devices can be difficult to use while the eyes are covered with a HMD. Free hand gestures, that are tracked with a camera or a hand data glove, have an advantage of eliminating the need to look at the hand controller but the design of hand or finger gestures for this purpose has not been well developed.
This study used a depth-sensing camera to track fingertip location (curling and straightening the fingers), which was converted to forward or backward self-travel in the VE. Fingertip position was converted to self-travel velocity using a mapping function with three parameters: a region of zero velocity (dead zone) around the relaxed hand position, a linear relationship of fingertip position to velocity (slope or β) beginning at the edge of the dead zone, and an exponential relationship rather than a linear one mapping fingertip position to velocity (exponent). Using a HMD, participants moved forward along a virtual road and stopped at a target on the road by controlling self-travel velocity with finger flexion and extension. Each of the 3 mapping function parameters was tested at 3 levels. Outcomes measured included usability ratings, fatigue, nausea, and time to complete the tasks.
Twenty subjects participated but five did not complete the study due to nausea. The size of the dead zone had little effect on performance or usability. Subjects preferred lower β values which were associated with better subjective ratings of control and reduced time to complete the task, especially for large targets. Exponent values of 1.0 or greater were preferred and reduced the time to complete the task, especially for small targets.
Small finger movements can be used to control velocity of self-travel in VE. The functions used for converting fingertip position to movement velocity influence usability and performance.


Prospects and challenges in augmented reality displays

2019, 1(1) : 10-20


Abstract (2088) PDF (85) HTML (2242)
Augmented reality (AR) displays are attracting significant attention and efforts. In this paper, we review the adopted device configurations of see-through displays, summarize the current development status and highlight future challenges in micro-displays. A brief introduction to optical gratings is presented to help understand the challenging design of grating-based waveguide for AR displays. Finally, we discuss the most recent progress in diffraction grating and its implications.
Data fusion methods in multimodal human computer dialog

2019, 1(1) : 21-38


Abstract (1772) PDF (60) HTML (1355)
In multimodal human computer dialog, non-verbal channels, such as facial expression, posture, gesture, etc, combined with spoken information, are also important in the procedure of dialogue. Nowadays, in spite of high performance of users’ single channel behavior computing, it is still great challenge to understand users’ intention accurately from their multimodal behaviors. One reason for this challenge is that we still need to improve multimodal information fusion in theories, methodologies and practical systems. This paper presents a review of data fusion methods in multimodal human computer dialog. We first introduce the cognitive assumption of single channel processing, and then discuss its implementation methods in human computer dialog; for the task of multi-modal information fusion, serval computing models are presented after we introduce the principle description of multiple data fusion. Finally, some practical examples of multimodal information fusion methods are introduced and the possible and important breakthroughs of the data fusion methods in future multimodal human-computer interaction applications are discussed.
A review on image-based rendering

2019, 1(1) : 39-54


Abstract (2149) PDF (166) HTML (1330)
Image-based rendering is important both in the field of computer graphics and computer vision, and it is also widely used in virtual reality technology. For more than two decades, people have done a lot of work on the research of image-based rendering, and these methods can be divided into two categories according to whether the geometric information of the scene is utilized. According to this classification, we introduce some classical methods and representative methods proposed in recent years. We also compare and analyze the basic principles, advantages and disadvantages of different methods. Finally, some suggestions are given for research directions on image-based rendering techniques in the future.
A survey on image and video stitching

2019, 1(1) : 55-83


Abstract (2414) PDF (158) HTML (4885)
Image/video stitching is a technology for solving the field of view (FOV) limitation of images/videos. It stitches multiple overlapping images/videos to generate a wide-FOV image/video, and has been used in various fields such as sports broadcasting, video surveillance, street view, and entertainment. This survey reviews image/video stitching algorithms, with a particular focus on those developed in recent years. Image stitching first calculates the corresponding relationships between multiple overlapping images, deforms and aligns the matched images, and then blends the aligned images to generate a wide-FOV image. A seamless method is always adopted to eliminate such potential flaws as ghosting and blurring caused by parallax or objects moving across the overlapping regions. Video stitching is the further extension of image stitching. It usually stitches selected frames of original videos to generate a stitching template by performing image stitching algorithms, and the subsequent frames can then be stitched according to the template. Video stitching is more complicated with moving objects or violent camera movement, because these factors introduce jitter, shakiness, ghosting, and blurring. Foreground detection technique is usually combined into stitching to eliminate ghosting and blurring, while video stabilization algorithms are adopted to solve the jitter and shakiness. This paper further discusses panoramic stitching as a special-extension of image/video stitching. Panoramic stitching is currently the most widely used application in stitching. This survey reviews the latest image/video stitching methods, and introduces the fundamental principles/advantages/weaknesses of image/video stitching algorithms. Image/video stitching faces long-term challenges such as wide baseline, large parallax, and low-texture problem in the overlapping region. New technologies may present new opportunities to address these issues, such as deep learning-based semantic correspondence, and 3D image stitching. Finally, this survey discusses the challenges of image/video stitching and proposes potential solutions.
Gesture interaction in virtual reality

2019, 1(1) : 84-112


Abstract (1710) PDF (117) HTML (1832)
With the development of virtual reality (VR) and human-computer interaction technology, how to use natural and efficient interaction methods in the virtual environment has become a hot topic of research. Gesture is one of the most important communication methods of human beings, which can effectively express users’ demands. In the past few decades, gesture-based interaction has made significant progress. This article focuses on the gesture interaction technology and discusses the definition and classification of gestures, input devices for gesture interaction, and gesture interaction recognition technology. The application of gesture interaction technology in virtual reality is studied, the existing problems in the current gesture interaction are summarized, and the future development is prospected.
A review on the application of augmented reality in craniomaxillofacial surgery

2019, 1(1) : 113-120


Abstract (1968) PDF (95) HTML (2369)
As a new technology from the development of VR (Virtual Reality), AR (Augmented Reality) has been focused on various industries and research institutions in recent years, and got greater development. Augmented reality with 3d registration has been applied in many areas. This article mainly talks about AR’s application in craniomaxillofacial surgery in recent years, introduces preoperative and intraoperative navigation application of VR and AR, and summarizes the key technology of AR: Display, Registration, Interaction. Then we discusses the currently existing problems in the application of AR technology in surgery and prospect the development trend of AR technology in surgical application.