SVP-Classifier: Single-View Point Cloud Data Classifier with Multi-view Hallucination

Mohammadi, Seyed; Wang, Yiming; Taiana, Matteo; Morerio, Pietro; Bue, Alessio Del

doi:10.1007/978-3-031-06430-2_2

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…In archaeology [2] [3], point clouds enable archaeologists to simulate reconstruction of antiques and historical sites in their computer before reconstructing them in the real-world. In robotics [4] [5] [6], point clouds provide robots with precisely measured information of their surrounding environments which enables them to do tasks such as grasping and moving. In automated driving [7] [8], accurate and complete point cloud measurements allow automated vehicles to navigate and avoid accidents on the road.…”

Section: Introductionmentioning

confidence: 99%

Point Cloud Completion: A Survey

Tesema,

Hill,

Jones

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Point cloud completion is the task of producing a complete 3D shape given an input of a partial point cloud. It has become a vital process in 3D computer graphics, vision and applications such as autonomous driving, robotics, and augmented reality. These applications often rely on the presence of a complete 3D representation of the environment. Over the past few years, many completion algorithms have been proposed and a substantial amount of research has been carried out. However, there are not many in-depth surveys that summarise the research progress in such a way that allows users to make an informed choice of what algorithms to employ given the type of data they have, the end result they want, the challenges they may face and the possible strategies they could use. In this study, we present a comprehensive survey and classification of papers on point cloud completion untill August 2023 based on the strategies, techniques, inputs, outputs, and network architectures. We will also cover datasets, evaluation methods, and application areas in point cloud completion. Finally, we discuss challenges faced by the research community and future research directions.

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