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Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only

Date

Authors

Asthana, Akshay

Goecke, Roland

Quadrianto, Novi

Gedeon, Tamas (Tom)

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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

Keywords

Keywords: Active appearance models; Automatic annotation; Deformable models; Deformable object; Face annotation; Face images; Facial Expressions; Landmark locations; Learning-based approach; Manual annotation; Non-rigid; Reconstructed image; Statistical approach; T

URI

http://hdl.handle.net/1885/56566

Collections

ANU Research Publications

Source

Proceeings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009)

Type

Conference paper

DOI

10.1109/CVPRW.2009.5206766

Restricted until

2037-12-31

Downloads

File

Description

01_Asthana_Learning_Based_Automatic_Face_2009.pdf (901.06 KB)