3D Data

3D data analysis focuses on extracting meaningful information from three-dimensional representations of the world, encompassing diverse applications from medical imaging to cultural heritage preservation. Current research emphasizes efficient data processing and representation, leveraging techniques like neural fields, graph representations, and deep learning architectures (including convolutional neural networks and transformers) to address challenges in segmentation, object detection, and scene understanding. These advancements are driving improvements in areas such as medical diagnosis, autonomous navigation, and the preservation of digital cultural artifacts, highlighting the growing importance of robust and scalable 3D data processing methods.