Deep learning based computer vision under the prism of 3D point clouds: a systematic review
Kyriaki A. Tychola,
Eleni Vrochidou,
George A. Papakostas
Abstract:Point clouds consist of 3D data points and are among the most considerable data formats for 3D representations. Their popularity is due to their broad application areas, such as robotics and autonomous driving, and their employment in basic 3D vision tasks such as segmentation, classification, and detection. However, processing point clouds is challenging compared to other visual forms such as images, mainly due to their unstructured nature. Deep learning (DL) has been established as a powerful tool for data p… Show more
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