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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Bibliographic Details

Published in:	Computer graphics forum Vol. 35; no. 5; pp. 207 - 215
Main Authors:	Lim, Isaak, Gehre, Anne, Kobbelt, Leif
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.08.2016
Subjects:	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 Access:	Get full text
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