• R Vidya
• Bhargavi S
• Spoorthi R
• Roshan K
• Gagana M S

Augmented Reality (AR) is a rapidly growing field that has the potential to transform many aspects of our lives, including entertainment, education, and even work. AR involves overlaying digital content onto the real world, creating an interactive and immersive experience for the user. However, creating compelling AR content can be challenging, as it requires highly accurate and detailed 3D models of both the virtual and real-world objects. Virtual object replacement based on real environments is a promising technique that has the potential to simplify the development process and enhance the user experience. The idea behind virtual object replacement is to use real-world scenes as a basis for creating AR content. Rather than creating a complex 3D model of a virtual object from scratch, this technique uses computer vision algorithms to identify and track real-world objects in a scene, and then replace them with digital content. For example, a real-world chair could be replaced with a virtual version that appears to be part of the scene. This approach has several advantages over traditional AR development methods. First, virtual object replacement can significantly reduce the time and cost required to develop AR content. Creating detailed 3D models of virtual objects can be a time-consuming and expensive process, especially for large or complex scenes. By using real-world scenes as a basis, developers can create highly realistic AR experiences with minimal effort. This can also make AR more accessible to a wider range of developers, as it does not require extensive knowledge of 3D modeling or programming. Second, virtual object replacement can enhance the believability of AR experiences. By using real-world scenes as a basis, the virtual objects can be seamlessly integrated into the environment, appearing to be part of the scene rather than floating in space. This can make the AR experience more immersive and engaging for users, as they are more likely to feel like they are interacting with real objects rather than digital ones. However, the success of virtual object replacement depends heavily on the accuracy and reliability of the computer vision algorithms used to identify and track real-world objects. If the algorithms are not able to accurately detect and track objects, the virtual objects may not be properly aligned with the real ones, leading to a disjointed and unconvincing AR experience. Additionally, the technique may not work well in environments with poor lighting or complex backgrounds, as the algorithms may have difficulty distinguishing between objects.

"Virtual advertisement using augmented reality ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m527-m537, April-2023, Available :http://www.jetir.org/papers/JETIR2304C68.pdf

"Virtual advertisement using augmented reality ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppm527-m537, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C68.pdf