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This dissertation covers the problem of 3D reconstruction of a scene from a number of images taken from that scene. Although this problem has been previously ad

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each asp

Point clouds are typically captured from surfaces of real-world objects using scanning devices. This scanning process invariably results in the loss of sharp ed

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science,

Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performan