Identifying Style of 3D Shapes using Deep Metric Learning

We present a method that expands on previous work in learning human perceived style similarity across objects with different structures and functionalities. Unlike previous approaches that tackle this problem with the help of hand‐crafted geometric descriptors, we make use of recent advances in metr...

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Veröffentlicht in:	Computer graphics forum Jg. 35; H. 5; S. 207 - 215
Hauptverfasser:	Lim, Isaak, Gehre, Anne, Kobbelt, Leif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.08.2016
Schlagworte:	Analysis Categories and Subject Descriptors (according to ACM CCS) Classification Collection Computer graphics deep metric learning I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling Image processing systems Learning Neural networks Similarity State of the art Studies style similarity Training
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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