Title
Learning Based Automatic Face Annotation For Arbitrary Poses And Expressions From Frontal Images Only
Abstract
Statistical approaches for building non-rigid deformable models, such as the Active Appearance Model (AAM), have enjoyed great popularity in recent years, but typically require tedious manual annotation of training images. In this paper, a learning based approach for the automatic annotation of visually deformable objects from a single annotated frontal image is presented and demonstrated on the example of automatically annotating face images that can be used for building AAMs for fitting and tracking. This approach employs the idea of initially learning the correspondences between landmarks in a frontal image and a set of training images with a face in arbitrary poses. Using this learner, virtual images of unseen faces at any arbitrary pose for which the learner was trained can be reconstructed by predicting the new landmark locations and warping the texture from the frontal image. View-based AAMs are then built from the virtual images and used for automatically annotating unseen images, including images of different facial expressions, at any random pose within the maximum range spanned by the virtually reconstructed images. The approach is experimentally validated by automatically annotating face images from three different databases.
Year
DOI
Venue
2009
10.1109/CVPRW.2009.5206766
CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4
Keywords
Field
DocType
active appearance model,facial expression,facial expressions,labeling,pose estimation,learning artificial intelligence,active shape model,face recognition,statistical analysis,image reconstruction
Iterative reconstruction,Virtual image,Computer vision,Active shape model,Facial recognition system,Image warping,Pattern recognition,Computer science,Pose,Active appearance model,Artificial intelligence,Landmark
Conference
Volume
Issue
ISSN
2009
1
1063-6919
Citations 
PageRank 
References 
6
0.51
18
Authors
4
Name
Order
Citations
PageRank
Akshay Asthana172925.02
Roland Goecke2132369.44
Novi Quadrianto335921.71
T. D. Gedeon4125586.44