Name
Abstract | ||
|---|---|---|
Face detection has been a very active research topic in recent years. However, when applied to uncontrolled environments, some systems exhibit poor generalization ability. Even though few of existing methods can achieve promising results in some challenging situations, they usually have the requirement of high computational cost. This will definitely limit the use of those methods in some mobile platforms which have limited computational resources and strict power-consumption control. In this paper, a novel facial representation method for multi-view face detection in uncontrolled environment is presented. The proposed method, named Flexible Block based Local Binary Patterns (FBLBP), has low storage requirements and it is fast to compute; while its performance is comparable with the state of the art methods, demonstrated on the challenging Face Detection Data set and Benchmark (FDDB). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICME.2014.6890187 | ICME |
Keywords | Field | DocType |
face detection,image representation,fblbp,facial representation method,face recognition,learning (artificial intelligence),fddb,multiview face detection,face detection data set and benchmark,flexible block based local binary patterns,two stage learning,structured ordinal features,energy consumption,power-consumption control,mobile platforms,unconstrained face detection,boosting | Computer vision,Object-class detection,Pattern recognition,Three-dimensional face recognition,Computer science,Local binary patterns,Artificial intelligence,Face detection | Conference |
ISSN | Citations | PageRank |
1945-7871 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenhua Chai | 1 | 118 | 17.39 |
| Yang Zhang | 2 | 104 | 22.94 |
| Zhijun Du | 3 | 0 | 0.34 |
| Dong Wang | 4 | 1351 | 186.07 |
| Heydi Mendez Vazquez | 5 | 91 | 7.10 |