GWCNN: A Metric Alignment Layer for Deep Shape Analysis

Deep neural networks provide a promising tool for incorporating semantic information in geometry processing applications. Unlike image and video processing, however, geometry processing requires handling unstructured geometric data, and thus data representation becomes an important challenge in this...

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Veröffentlicht in:	Computer graphics forum Jg. 36; H. 5; S. 49 - 57
Hauptverfasser:	Ezuz, Danielle, Solomon, Justin, Kim, Vladimir G., Ben-Chen, Mirela
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.08.2017
Schlagworte:	Alignment Artificial neural networks Categories and Subject Descriptors (according to ACM CCS) Distortion I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems Image processing Machine learning Machine tools Representations Soups Three dimensional models Unstructured data Video Video data
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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