AI and machine learning algorithms for Point Cloud Data processing and the applications

CEANet: an end-to-end transformer based static-mobile points alignment approach. (2025)
Journal Article
YESIPOV, V., MEKALA, M.S., EDGE, P. and ELYAN, E. 2025. CEANet: an end-to-end transformer based static-mobile points alignment approach. Signal, image and video processing [online], 19(8), article number 596. Available from: https://doi.org/10.1007/s11760-025-04258-6

Correspondence-based Point Cloud Registration (PCR) is crucial for 3D visualization applications, especially in change detection. Most PCR models depend on precise initialization using a set of closest points to establish correspondences, a method th... Read More about CEANet: an end-to-end transformer based static-mobile points alignment approach..