| Project/Area Number |
16K12453
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Perceptual information processing
|
|---|
| Research Institution | University of Tsukuba |
|---|
Principal Investigator |
Fukui Kazuhiro 筑波大学, システム情報系, 教授 (40375423)
|
|---|
| Project Period (FY) |
2016-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | 顔認証 / 顔面微小特徴点 / 形状部分空間 / 正準角 / グラスマン判別分析 / 個人認証 / 3次元形状空間 / 分離度フィルタ / 顔面特徴点 / 動画像処理 / 個人識別 / 形状空間 / グラスマン多様体 |
|---|
| Outline of Final Research Achievements |
In this research, we proposed a face identification method based on the 3-d structure of minute facial feature points, where the 3-d structure of each feature set is represented by a shape subspace in high dimensional vector space. To enhance the advanatge of the proposed method, we introduced Grassmann discriminant analysis to extract selectively features that are more useful for identifying, thereby performing more accurate identification. The effectiveness of the proposed method is demonstrated by evaluation experiments using actual facial video data.
|
