Name
Abstract | ||
|---|---|---|
Human face conveys significant characteristics of a person such as age traits and facial attractiveness. The absolute aesthetic value for human faces is still unclear; but meanwhile, facial attractiveness has been considered as a cross-culture criteria. By applying de-aging procedure on 3D model geometry can be used to enhance facial attractiveness due to improved shape analysis. We conclude our observation on aging progress into four rules: 1. drooping of eyelids, 2. lack of elasticity cause hollow cheeks, 3. slack on middle face and 4. wrinkles. In this paper we present a framework to beautify (enhance facial attractiveness) realistic facial model by mesh deformation method based on data-driven approach. For an elder input face, we extract the edges connected among feature points on the face mesh. The edge lengths is used as a feature vector, and an age score is associated with it. We search for local minimum to obtain a related young vector and consequently maintain the similarity between the elder and young face. Once the young length vector has been determined, we can embed it to our new feature locations and then deform the model to a younger shape. The effectiveness of our work is to rejuvenate elder face by altering determined the outline of a facial model. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2342896.2343001 | SIGGRAPH Posters |
Keywords | Field | DocType |
facial model,de-aging high-resolution,human face,model geometry,young face,elder input face,middle face,face mesh,elder face,facial attractiveness,realistic facial model,example-driven mesh deformation,shape analysis,feature vector,high resolution | Computer vision,Feature vector,Hollow cheeks,Computer science,Attractiveness,Artificial intelligence,Deformation (mechanics),Shape analysis (digital geometry) | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Shang Lin | 1 | 9 | 0.89 |
| Shih-Yen Hwang | 2 | 0 | 0.34 |
| Che-Hua Yeh | 3 | 107 | 7.59 |
| Ming Ouhyoung | 4 | 1609 | 266.64 |