Name
Abstract | ||
|---|---|---|
Face hallucination produces high-resolution facial images from low-resolution inputs. In this paper, we propose a facial-parts-based face hallucination method. Since our goal is face recognition rather than face reconstruction, the contour information of facial-parts(such as eyes) is important. This method reconstructs facial parts as entities instead of dividing them into small blocks. We obtain the contours of facial parts by using the Active Appearance Model(AAM), and transform training images based on contours. We confirm that the proposed method significantly enhances face recognition performance. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13681-8_1 | ICISP |
Keywords | Field | DocType |
active appearance model,face recognition performance,facial part,face recognition,face hallucination,high-resolution facial image,face reconstruction,facial parts-based face hallucination,facial-parts-based face hallucination method,contour information,high resolution,low resolution | Facial recognition system,Computer vision,Face hallucination,Three-dimensional face recognition,Pattern recognition,Computer science,Active appearance model,Artificial intelligence,Face detection | Conference |
Volume | ISSN | ISBN |
6134 | 0302-9743 | 3-642-13680-X |
Citations | PageRank | References |
1 | 0.37 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaori Kataoka | 1 | 9 | 1.68 |
| Shingo Ando | 2 | 1 | 0.70 |
| Akira Suzuki | 3 | 1 | 0.37 |
| Hideki Koike | 4 | 1080 | 126.62 |