Name
Abstract | ||
|---|---|---|
This paper presents a variant of Haar-like feature used in Viola and Jones detection framework, called scattered rectangle
feature, based on the common-component analysis of local region feature. Three common components, feature filter, feature
structure and feature form, are extracted without concerning the details of the studied region features, which cast a new
light on region feature design for specific applications and requirements: modifying some component(s) of a feature for an
improved one or combining different components of existing features for a new favorable one. Scattered rectangle feature follows
the former way, extending the feature structure component of Haar-like feature out of the restriction of the geometry adjacency
rule, which results in a richer representation that explores much more orientations other than horizontal, vertical and diagonal,
as well as misaligned, detached and non-rectangle shape information that is unreachable to Haar-like feature. The training
result of the two face detectors in the experiments illustrates the benefits of scattered rectangle feature empirically; the
comparison of the ROC curves under a rigid and objective detection criterion on MIT+CMU upright face test set shows that the
cascade based on scattered rectangle features outperforms that based on Haar-like features. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11432-009-0034-8 | Science in China Series F: Information Sciences |
Keywords | Field | DocType |
roc curve | Diagonal,Adjacency list,Computer vision,Object detection,Feature detection (computer vision),Pattern recognition,Feature (computer vision),Feature structure,Rectangle,Artificial intelligence,Mathematics,Test set | Journal |
Volume | Issue | ISSN |
52 | 2 | 18622836 |
Citations | PageRank | References |
3 | 0.40 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weize Zhang | 1 | 6 | 1.18 |
| Ruofeng Tong | 2 | 466 | 49.69 |
| Jinxiang Dong | 3 | 311 | 65.36 |