Name
Abstract | ||
|---|---|---|
Avatar is the virtual representation of user's facial, body, and motion characteristics in computer game, social network, and augmented reality. Facial modeling needs enormous efforts to achieve immersive experience in applications like avatar chatting or online makeover. Great challenge exists in robust detection of 2D facial prominent points and mapping them to 3D models in a parameterized manner. Another challenge is how to characterize semantic components of eyes, mouth, nose, and cheek rather than low level mesh geometries. In this paper, we proposed an augmented makeover framework to deal with aforementioned challenges. Aiming to provide amateurs with flexible customizations, morphable model is constructed from a set of scanned 3D face data set. Appearance personalization is carried out in the offline phase where single image and multiple views are discussed respectively to generate deformative shape in a progressive manner. Augmentation is implemented in the online phase where a fast and robust 3D tracking is used to balance the tradeoff between accuracy and real-time requirements. By this means, immersive Human Computer Interaction such as virtual makeover and photo-realistic avatar chatting could be achieved. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2072298.2072067 | ACM Multimedia 2001 |
Keywords | Field | DocType |
online makeover,aforementioned challenge,virtual makeover,great challenge,facial prominent point,morphable model,augmented reality,photo-realistic avatar,augmented makeover,augmented makeover framework,immersive human computer interaction,facial modeling,real time,human computer interaction,social network,structure analysis,surface reconstruction | Structure analysis,Computer vision,Parameterized complexity,Virtual representation,Computer science,Augmented reality,Artificial intelligence,Immersion (virtual reality),3d tracking,Avatar,Personalization | Conference |
Citations | PageRank | References |
2 | 0.37 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patricia Wang | 1 | 2 | 0.37 |
| Xiaofeng Tong | 2 | 336 | 22.08 |
| Yangzhou Du | 3 | 169 | 13.85 |
| Jianguo Li | 4 | 377 | 35.38 |
| Wei Hu | 5 | 182 | 14.17 |
| Yimin Zhang | 6 | 1536 | 130.17 |