Hierarchical morphable models
Jones, M.J.
Poggio, T.
Res. Lab., Digital Equip. Corp., Cambridge, MA ;
This paper appears in: Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Publication Date: 23-25 Jun 1998
On page(s): 820-826
Meeting Date: 06/23/1998 - 06/25/1998
Location: Santa Barbara, CA, USA
ISSN: 1063-6919
ISBN: 0-8186-8497-6
References Cited: 14
INSPEC Accession Number: 5985933
Digital Object Identifier: 10.1109/CVPR.1998.698699
Current Version Published: 2002-08-06
Abstract
This paper presents a new technique for modelling object classes
(such as faces) and matching the model to novel images from the object
class. The technique can be used for a variety of image analysis
applications including face recognition, object verification and facial
expression analysis. The model, called a hierarchical morphable model,
is “learned” from example images (partioned into components)
and their correspondences. This is an extension to the work on morphable
models described in previous papers. Hierarchical morphable models are
shown to find good matches to novel face images and are also robust to
partial occlusion
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