Deep-Learning-Based 3-D Surface Reconstruction-A Survey

In the last decade, deep learning (DL) has significantly impacted industry and science. Initially largely motivated by computer vision tasks in 2-D imagery, the focus has shifted toward 3-D data analysis. In particular, 3-D surface reconstruction, i.e., reconstructing a 3-D shape from sparse input,...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 111; H. 11; S. 1464 - 1501
Hauptverfasser:	Farshian, Anis, Gotz, Markus, Cavallaro, Gabriele, Debus, Charlotte, Niesner, Matthias, Benediktsson, Jon Atli, Streit, Achim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	3-D deep learning (DL) 3-D surface reconstruction Computer vision Data analysis Deep learning Geometric algorithms geometric DL Geometric modeling geometry processing Image acquisition Image reconstruction Laser radar Machine learning Point cloud compression Surface emitting lasers Surface reconstruction Surveys Taxonomy Three-dimensional displays
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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