DocumentCode
2589764
Title
Layered active appearance models
Author
Jones, Eagle ; Soatto, Stefano
Author_Institution
Dept. of Comput. Sci., California Univ., Los Angeles, CA
Volume
2
fYear
2005
fDate
17-21 Oct. 2005
Firstpage
1097
Abstract
Active appearance models (AAMs) provide a framework for modeling the joint shape and texture of an image. An AAM is a compact representation of both factors in a conditionally linear model. However, the standard AAM framework does not handle images which have missing features, or allow modification of certain structures in the image while leaving neighboring ones undeformed. We introduce the layered active appearance model (LAAM), which allows for missing features, occlusion, substantial spatial rearrangement of features, and which provides a more general representation that extends the applicability of the active appearance model
Keywords
feature extraction; image texture; feature substantial spatial rearrangement; image joint shape; image texture; layered active appearance model; linear model; missing feature; Active appearance model; Active shape model; Computer science; Computer vision; Eyes; Licenses; Mouth; Nose; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Conference_Location
Beijing
ISSN
1550-5499
Print_ISBN
0-7695-2334-X
Type
conf
DOI
10.1109/ICCV.2005.133
Filename
1544843
Link To Document