There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Augmented reality (AR) provides additional information to the reality of sportspeople, and might offer supplementary advantages compared to other technologies. The goals of this study were to characterize and understand the benefits of AR in sports education and training. We reviewed Pubmed, Scopus, Web of Science, and SportDiscus databases, and discussed the results according to their role in sport (practitioner, spectator, and customer). Our results showed that different AR approaches might be used for learning and providing feedback. New rules could be introduced for reducing the gap between players with different experience levels. Additional information could also be added to improve the audience experience. We also explored the limitations of current AR systems and their efficacy in training, and provided suggestions for designing training scenarios.

pdf/augmented-reality-tools-for-sports-education-and-training-71g4jjz1mt.pdf

Augmented reality tools for sports education and training

A framework study on the use of immersive XR technologies in the cultural heritage domain

Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various algorithms to solve this problem and achieved promising results. Recently, Transformer-based tracking approaches have ushered in a new era in single-object tracking by introducing new perspectives and achieving superior tracking robustness. In this paper, we conduct an in-depth literature analysis of Transformer tracking approaches by categorizing them into CNN-Transformer based trackers, Two-stream Two-stage fully-Transformer based trackers, and One-stream One-stage fully-Transformer based trackers. In addition, we conduct experimental evaluations to assess their tracking robustness and computational efficiency using publicly available benchmark datasets. Furthermore, we measure their performances on different tracking scenarios to identify their strengths and weaknesses in particular situations. Our survey provides insights into the underlying principles of Transformer tracking approaches, the challenges they encounter, and the future directions they may take. 

Transformers in Single Object Tracking: An Experimental Survey

Augmented Reality (AR) is now becoming an exceptional technology that offers a new world. Users to enable their senses to feel, listen and see the surroundings in different and better ways witness a unique experience. AR technology is used to superimpose the real view of the user with the virtual scenes. This research work illustrates the core details of AR, its definition, history, and development process. In addition, discusses ideas having various approaches during utilization of AR frameworks along with glyph tracking system. Current applications of AR technology completely depend on the proper utilization of AR frameworks.

A Review on Classifications of Tracking Systems in Augmented Reality

Augmented Reality is the combination of virtual scene generated from computer with the user's real world. Nowadays, many applications apply augmented reality technology in defense sector, traffic management, which uses real time system, where time is an important factor. In this paper, an efficient augmented reality system is suggested to compute the response time of machine to detect the marker. Luminous affecting computing of glyph recognition and detection of glyph by marker at different challenging distance (feet) has been processed. Glyph is created for augmented process through image processing and glyph matrix representation has been structured. Here, Posit algorithm is used to detect the position and orientation of marker with respect to camera. A prototype structure is created to compute the detection response time of machine under different challenging conditions. Our experimental result shows minimum computation Detection time is 5400 millisecond at lux 13490 (ambient light) and maximum computation detection time is 12000 millisecond at Lux 10.3 (no tube-light) to detect the fiducial marker.

Detection time of machine by posit algorithm through augmented reality

Augmented Reality (AR) is a new and developing technology capable of unlimited future prospects. It has gained much attention in recent years and is in its initial phases of research and development. Slowly and steadily, AR is spreading into day-to-day lives through audiovisual media and in other fields such as sports, entertainment, business, designs, etc. This paper provides an overview of the concept of AR including its definition, architecture, and the different latency factors which affect the rotation of arm of machine and limitations of AR.

Latency Factor in Bot Movement Through Augmented Reality

This paper presents a methodology to recognize the matrix marker at minimum latency time. Latency is the biggest challenge in the field of Augmented Reality (AR). Marker detection approach in AR has been conducted for several years, but there is no system or method to reduce the latency. Although, currently some methods use marker-less augmented reality system, but complexity in detection process, the marker based recognise approach is proposed. Here, we propose matrix marker recognise algorithm and mathematical formulation to detect the marker at different distance and luminous conditions. The position and quadrilateral areas which may seem like marker have been processed by posit class & IP prototype tool from Aforge.net framework. Experimental results compare the latency using rectifier, without rectifier and ideal value of system under different distance and luminous conditions.

Product Application to Recognize the Marker Through Augmented Reality

In recent time, latency plays a key role in the entire concept of augmented reality as well as in real-time applications. With the innovation in the theory of augmented reality and rapid ad...

Optimizing latency time of the AR system through glyph detection

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