Output details
11 - Computer Science and Informatics
University of York
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Output 0 of 0 in the submission
Article title
From 3D Point Clouds to Pose-Normalised Depth Maps
Type
D - Journal article
Title of journal
International Journal of Computer Vision
Article number
-
Volume number
89
Issue number
2-3
First page of article
152
ISSN of journal
0920-5691
Year of publication
2010
Number of additional authors
2
Additional information
<23>Much work on 3D face processing has assumed frontal poses with few missing parts and little spurious data. While this is valid for face verification applications, it is not for the identification of non-cooperating subjects. This paper introduces new shape representations and mechanisms of shape extraction that can deal with such conditions. It is the first to employ fast radial basis function (RBF) fitting to extract novel features in a 3D face biometric security setting.
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Advanced Computer Architectures
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
