NDLI: 3D face landmark labelling

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3D face landmark labelling

Content Provider	ACM Digital Library
Author	Austin, Jim Pears, Nick Creusot, Clement
Abstract	Most 3D face processing systems require feature detection and localisation, for example to crop, register, analyse or recognise faces. The three features often used in the literature are the tip of the nose, and the two inner corner of the eyes. Failure to localise these landmarks can cause the system to fail and they become very difficult to detect under large pose variations or when occlusion is present. In this paper, we present a proof-of-concept for a face labelling system capable of overcoming this problem, as a larger number of landmarks are employed. A set of points containing hand-placed landmarks is used as input data. The aim here is to retrieve the landmark's labels when some part of the face is missing. By using graph matching techniques to reduce the number of candidates, and translation and unit-quaternion clustering to determine a final correspondence, we evaluate the accuracy at which landmarks can be retrieved under changes in expression, orientation and in the presence of occlusions.
Starting Page	27
Ending Page	32
Page Count	6
File Format	PDF
ISBN	9781450301602
DOI	10.1145/1877808.1877815
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-10-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Registration 3d face Labelling Graph matching
Content Type	Text
Resource Type	Article

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