Paper Info
Title
An improved rendering technique for active-appearance-model-based automated age progression
Abstract
Age progression is the process of creating images that suggest how a person may appear in a certain amount of time based on the effects of the aging process. Traditionally these images have been created manually by forensic artists who use both art and science to guide how representations appear, whether drawn or photo-manipulated. Automated age-progression seeks to use algorithmic methods to create accurate images of how the individual in a photo could appear after aging effects. It is still a fairly young area of research, but one promising technique suggested so far has been to use parametrically driven face models such as Active Appearance Models to modify the face appearance in an image based on a data-driven model of face aging. These can be successful but tend to suffer from reconstructed texture artifacts.
Year
DOI
Venue
2013
10.1145/2503385.2503451
SIGGRAPH Posters
Keywords
Field
DocType
age progression,active-appearance-model-based automated age progression,automated age-progression,data-driven model,certain amount,active appearance models,face appearance,accurate image,forensic artist,face model,algorithmic method,improved rendering technique,post production
Age progression,Computer vision,Face aging,Computer graphics (images),Computer science,Image based,Post-production,Active appearance model,Artificial intelligence,Rendering (computer graphics)
Conference
Citations 
PageRank 
References 
2
0.39
2
Authors
3
Name
Order
Citations
PageRank
Eric Patterson162.15
Amrutha Sethuram2173.41
Karl Ricanek316518.65