
To achieve a face recognition system robust to the presence of spectacles, we have developed a spectacle detection and extraction algorithm. The detection is realized using edge information within a small area defined between the eyes. The extraction is achieved with a deformable contour, combining edge features such as strength and orientation and geometrical features such as convexity, symmetry, smoothness and continuity. The final position of the deformable contour is obtained using dynamic programming. Experimental results demonstrate the effectiveness of the method, and the robustness to the variation of spectacle shapes and colours.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
