Computer Vision in the Metaverse
Computer Vision in the Metaverse is fast growing new technology in current era. In this article i will discuss the importance of computer vision in metaverse. It will help to understand the history, process, techniques , architecture, advantages and disadvantages . This article also discuss about the adaption of metaverse to life and how society will take place in metaverse. The future of metaverse technology and current research to adapt this technology is explain in a broad perspective.
Metaverse is describes a hypothetical synthetic environment linked to the physical world. Neal Stephenson explain 3D virtual world , where people exist as avatar and interact with software agent. The concept of Digital Twins was introduced as a digital equivalent of a physical object and the conceptual model underlying product lifecycle management. Second Life is an online virtual world game . In Metaverse human being exist as a avatars and and are in a virtual world. Before discussing the importance of computer vision in metaverse , it is more important to know basic terms used in this article. There are three main component of metaverse technology which are.
Virtual Reality (VR):
The Virtual (VR) have no connection to the real world. Virtual Reality (VR) allows the user to transition into a three-dimensional (3D) virtual world with a compute.
Extended Reality (XR)
Extended Reality (XR) refers to real and virtual spaces created by wearable devices. In other words, it can also be called human-machine interaction.
Augmented Reality (AR)
Augmented Reality (AR) is a technology used to increase the visual fields of users with necessary information.
Mixed Reality (MR)
Mixed Reality (MR) combines virtual and real worlds to produce new environments in which digital and physical objects interact in real-time. Mixed Reality (MR) does not coexist two realities; it is a hybrid of two realities.
COMPUTER VISION IN THE METAVERSE
Computer vision plays an essential role in building humans’ ability to experience the virtual world in the Metaverse universe. Digital avatars in computer vision and virtual reality offer an almost real-world equivalent experience. While you can reach this virtual world using extended reality products, extended reality is based on the basis of computer vision. Computer vision plays a vital role in XR applications. Visual information and computer vision play a vital role in processing, analyzing, and understanding visuals as digital images or videos to derive meaningful decisions and take actions. Computer vision allows XR devices to recognize and understand visual information of users’ activities and physical surroundings, helping build more reliable and accurate virtual and augmented environments. Human pose tracking refers to the computer vision task of obtaining spatial information concerning human bodies in an interactive environment.
Computer vision, in XR applications, recreates the user environment in 3D. It determines the direction and location of the user. XR interactive system needs to track the body and pose of users. Metaverse, the human users will be followed with computer vision and represented as avatars. Metaverse also requires users to perceive their environment. Therefore image processing is an important area for developing a better metaverse. The metaverse is connected seamlessly with the physical environments in real-time. An avatar needs to work
with a physical person in such a condition. It is crucial to display the 3D virtual world with less noise, blur, and high resolution in the metaverse. In adverse visual requirements, such as haze, low or high luminosity, or even rainy weather conditions, the interactive systems in the metaverse still need to show the virtual universe.
APPLICATIONS OF COMPUTER VISION IN THE METAVERSE
Metaverse domains include healthcare, military, real estate, manufacturing, education, and retail. Metaverse Health applications accelerate surgical procedures, examine data obtained by 3D scans in real-time and augmented reality, help patients detect, diagnose and treat possible diseases, and allow patients to look at their bodies. Some Metaverse military applications provide a more realistic experience by putting soldiers in more physically and psychologically challenging war environments.
Metaverse Real Estate Applications
It allows real estate marketers to review the property with virtual reality tours before making any selections for their clients. In this way, it offers customers the advantage of inspecting under all conditions and reduces travel time to zero.
Metaverse Production Applications
Factories significantly reduce the likelihood of accidents by using virtual reality applications. You also do not need to spend time and money training a new employee because, with augmented reality simulations, employees can be prepared quickly and safely.
Metaverse Education Applications
Traditional teaching approaches can never provide the high efficiency of using concepts visually. Students prefer watching rather than reading. For this reason, dealing with a subject with visual dimensions with virtual reality will always give better learning results.
Metaverse Retail Applications
One of Metaverse’s most significant recent developments is that Meta (formerly Facebook) plans to launch direct-toconsumer virtual stores with virtual reality and augmented reality. This promising news also plays an encouraging role in charting different routes in Metaverse.
COMPUTER VISION TECHNIQUES
Classifying pixel and vector groups in an image by applying specific rules is called image classification. It is among the best-known techniques. However, it has several problems to be overcome in its implementation. Let’s say we have a set of images belonging to a category, and we prepared a test image set to measure the accuracy of our predictions. The difficulties here are; changing perspectives, deformation,
and light settings are some points that must be overcome.
Object detection is a method used to identify and locate specific objects in any image or video. Object detection allows us to determine the positions or movements of said objects in the scene and draws them with the bounding box. The major difference between object detection and image recognition is that it defines and labels a bounding box for every object in an image or video defined as a specific object. The model predicts the object’s label and location.
Object tracking is defined as tracking a moving object in any or many scenes. First, object detection is used, and then deep learning applications are used, where the object’s movement is monitored. Tracked objects have an indicator next to them.
IMPACT OF COVID-19 ON METAVERSE
Before Covid-19, Metaverse was seen as just an entertainment platform for the community, like spending time, playing games. But after the pandemic, a potential second world came to the Metaverse for society. The community is discussing business integration, collaborations, retail merchandising, investment, and how to adapt this model to life around the world. Building a virtual universe
has gained extreme importance after the pandemic, as it can be a solution to some problems. An example of this is holding interactive virtual business meetings. The Covid-19 pandemic has played an important role in accelerating the evolution of the Metaverse universe.
FUTURE OF COMPUTER VISION IN THE METAVERSE
It looks like Metaverse will be at an important point in our lives in the future. Therefore, many investments are made. Today, while the business world is trying to adapt quickly, it is predicted that many sectors will take place in the Metaverse in the future. From the point of computer vision, extended reality (XR) and augmented reality (AR) technology products will develop, or new products will begin to emerge in the future.
BLOCKCHAIN ON METAVERSE
Blockchain technology is originally the name given to the design underpinning the operation of the digital currency Bitcoin. Bitcoin’s creator never used the term “blockchain” in his whitepaper. Reading the paper, one gets the distinct impression that the author was not introducing a new technology in the traditional sense of the word. Still, a software design drawing on several existing technologies allows him to create a “purely peer-to-peer version of electronic cash” . There are some projects in Metaverse. Metaverse also aims to create a digital economy. It has cryptocurrencies for it. The benefits of Blockchain in the Metaverse are as follows; digital proof of ownership, digital collectability, transfer of value, governance, accessibility, and interoperability. It also offers a transparent and costeffective solution.
ARTIFICIAL INTELLIGENCE IN METAVERSE
Artificial intelligence applications; Features deep learning provide higher performance for developers and designers in Metaverse than traditional approaches. However, it is not enough to implement artificial intelligence to make users’ work easier and provide a high-performance experience. Existing AI models are often intense and require large computations. Therefore, it is essential to design light and efficient artificial intelligence models.
ARCHITECTURE OF THE METAVERSE
The Metaverse is still in the active phase of development. Therefore, there is no consistent definition of architecture. Jon Radoff proposed a seven-layered architecture from bottom to top . These; infrastructure, human interface, decentralization, spatial computing, creator economy, discovery, and experience. This architecture represents the industrial division. However, the Metaverse architecture should be viewed from a more micro perspective. A threelayer architecture is shown in Fig.3. These; infrastructure, interaction, and ecosystem. The basic requirements of the Metaverse require the transition of the architecture from a physical world to a virtual one.
In conclusion, Metaverse is an essential and promising topic today. It is foreseen that the Metaverse approach will focus on how this technology will be adapted to people’s lives rather than how this technology will be developed in the future. For this reason, this technology currently needs to be further researched and developed. The subjects that need to be developed are computer vision, augmented reality, and
extended reality technologies, which will make a faster and positive contribution to Metaverse. Companies need to invest more in this direction, and technologies emerge quicker and more advanced. Especially in the business world, the sector’s leading companies should take place in Metaverse and set an example in this regard. This vision’s rapid acquisition and realization play an essential role in our future. In addition, these technologies need to be more accessible in society. This technology, which will be an integral part of our lives soon, should be suitable for people at every economic level of the organization. Instead of a high-cost product, cheaper-cost products should be developed and made fit for the use of all people.
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I am a computer engineering student having an experience in Artificial intelligence, machine learning, computer vision , deep learning and block chain. I love to write and share my knowledge with the world community.