Name
Title | ||
|---|---|---|
Structural statistic method identifying facial images by contour characteristic points |
Abstract | ||
|---|---|---|
This study discusses structural static method of human face identification for computer recognition systems based on building an identification vector as a set of characteristic points representing significant facial features with reduced data. It allowed providing an accurate classification invariant to the scale, rotation and shear at low computing complexity. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IDAACS.2015.7340746 | 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) |
Keywords | Field | DocType |
contour,characteristic points,curvature function,Haar wavelet,identification vector | Computer vision,Statistic,Pattern recognition,Computer science,Interpolation,Image segmentation,Invariant (mathematics),Artificial intelligence,Machine learning,Wavelet transform | Conference |
Volume | ISBN | Citations |
1 | 978-1-4673-8359-2 | 0 |
PageRank | References | Authors |
0.34 | 6 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diana Zahorodnia | 1 | 0 | 1.01 |
| Yuriy Pigovsky | 2 | 1 | 1.42 |
| Pavlo Bykovyy | 3 | 4 | 4.69 |
| Viktor Krylov | 4 | 0 | 0.34 |
| Ihor Paliy | 5 | 6 | 2.49 |
| Igor Dobrotvor | 6 | 0 | 0.34 |