RGB D Sequence

RGB-D sequences, comprising synchronized color and depth images, are crucial for 3D scene understanding and reconstruction. Current research focuses on developing robust algorithms for tasks like simultaneous localization and mapping (SLAM), 6D object pose estimation and tracking, and multi-object tracking, often employing neural networks, including graph convolutional networks and implicit neural representations. These advancements are driving progress in applications such as robotics, augmented reality, and accessibility technologies for the visually impaired, by enabling more accurate and efficient 3D scene modeling and interaction.