Depth Camera

Depth cameras, which measure distance to objects to create 3D point clouds, are crucial for various applications, from robotics and autonomous navigation to human-computer interaction and healthcare. Current research emphasizes improving depth data quality through techniques like self-supervised denoising and multi-sensor fusion, often incorporating convolutional neural networks and transformers for tasks such as object detection, pose estimation, and scene reconstruction. These advancements are driving progress in areas like robotic manipulation, surgical skill assessment, and augmented/virtual reality experiences, by enabling more accurate and robust 3D perception in diverse environments.