Name
Abstract | ||
|---|---|---|
Location of human features, such as human eye centers, is much important for face image analysis and understanding. This paper proposes a context-based method for human eye centers search. A neural network learns the contexts between human eye centers and their environment in images. For some initial positions, the distances between them and the labeled eye centers in horizontal and vertical directions are learned and remembered respectively. Given a new initial position, the system will predict the eye centers' positions according to the contexts that the neural network learned. Two experiments on human eye centers search showed promising results. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72393-6_102 | ISNN (2) |
Keywords | Field | DocType |
searching eye,eye center,neural network,context-based neural network,human eye centers search,context-based method,initial position,new initial position,face image analysis,human eye center,promising result,human feature,image analysis | Human eye,Computer vision,Horizontal and vertical,Computer science,Context based,Artificial intelligence,Artificial neural network | Conference |
Volume | ISSN | Citations |
4492 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Miao | 1 | 220 | 22.17 |
| Laiyun Qing | 2 | 337 | 24.66 |
| Lijuan Duan | 3 | 215 | 26.13 |
| Wen Gao | 4 | 11374 | 741.77 |