Paper Info
Title
A comparative study of active appearance model annotation schemes for the face
Abstract
Active appearance models (AAM), a group of flexible deformable models, have been widely used in various applications such as, object tracking, medical image segmentation and synthesis. AAMs are statistical models which model the shape and texture of an object. There has been much published work in this field to improve the speed and fitting accuracy. However, there has not been any significant study related to the quantity and selection of annotation points (landmarks) used to define the object and its texture. This paper proposes four different annotation schemes used for modeling the human face and evaluates each scheme in regard to reconstructing face images. In pursuit of choosing a particular annotation scheme for age progression and synthesis, this paper presents qualitative and quantitative methods for evaluation.
Year
DOI
Venue
2010
10.1145/1924559.1924608
ICVGIP
Keywords
Field
DocType
age progression,face image,object tracking,comparative study,particular annotation scheme,different annotation scheme,human face,active appearance model,active appearance model annotation,annotation point,flexible deformable model,fitting accuracy,quantitative method,statistical model,active appearance models
Age progression,Computer vision,Active shape model,Annotation,Pattern recognition,Face aging,Computer science,Active appearance model,Image segmentation,Video tracking,Artificial intelligence,Statistical model
Conference
Citations 
PageRank 
References 
2
0.40
15
Authors
3
Name
Order
Citations
PageRank
Amrutha Sethuram1173.41
Karl Ricanek216518.65
Eric Patterson391.82