What is Computer Vision?
Computer vision is a field of artificial intelligence (AI) that enables machines to interpret and understand visual information from the world, similar to the way humans do. It involves the extraction, analysis, and understanding of images and videos. This technology has widespread applications, particularly in augmented reality (AR), where digital information is overlaid onto the physical world.
In augmented reality, computer vision is essential for recognizing the environment and determining how digital elements will interact with it. Through techniques such as image recognition and object tracking, AR systems can identify surfaces, contours, and objects in real-time. This allows for a seamless integration of virtual content into the user's field of view, enhancing interactions and experiences.
The process begins with capturing images via cameras or sensors. These images are then processed using algorithms that detect features and objects. Once identified, AR applications can modify the visual output based on user interactions or surroundings. For example, in mobile AR applications like Pokémon GO, computer vision helps pinpoint the location of virtual characters on the physical landscape.
Overall, computer vision is a cornerstone of augmented reality, enabling transformative experiences by bridging the gap between the digital and physical worlds.