RGB D Image

RGB-D images, combining color (RGB) and depth (D) information, are crucial for 3D scene understanding, enabling applications ranging from autonomous driving to robotic manipulation. Current research focuses on developing robust and efficient algorithms for tasks such as semantic segmentation, 3D object detection and pose estimation, often employing deep learning architectures like transformers and convolutional neural networks, along with novel fusion techniques to leverage both RGB and depth data effectively. These advancements are driving progress in areas like precision agriculture, 3D modeling, and human-computer interaction by providing more accurate and comprehensive scene representations.