RGB D Camera

RGB-D cameras, which capture both color (RGB) and depth (D) information, are revolutionizing computer vision by enabling 3D scene understanding. Current research focuses on improving depth map accuracy, particularly for challenging scenarios like transparent objects and low-light conditions, often employing convolutional neural networks (CNNs) and advanced feature correlation techniques within architectures like UNet. These advancements are driving progress in robotics (navigation, grasping, manipulation), augmented reality (AR), and other applications requiring precise 3D perception, particularly in areas like autonomous navigation and human-robot interaction.