Extending Convolutional Pose Machines for Facial Landmark Localization in 3D Point Clouds

In this work we address the problem of landmark localization in 3D point clouds by extending the convolutional pose machine (CPM) architecture to facilitate landmark localization in 3D point clouds. Making use of PointNet++,we are able to construct an architecture that is invariant tothe ordering of...

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Bibliographic Details

Published in:	IEEE International Conference on Computer Vision workshops pp. 4600 - 4602
Main Authors:	O' Sullivan, Eimear, Zafeiriou, Stefanos
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2019
Subjects:	Face Feature extraction Heating systems Landmark Localization Point Clouds Point Convolutions Shape Sun Three-dimensional displays
ISSN:	2473-9944
Online Access:	Get full text
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