Research Article
Real Time Eye Detector with Cascaded Convolutional Neural Networks
Table 2
Eye localization and classification comparison on the BioID datasets.
| Method | | | | Time (ms) |
| Valenti and Gevers [5] | 86.1% | 91.7% | 97.9% | | Timm and Barth [7] | 82.5% | 93.4% | 99.7% | | Amos et al. [20] | 84.1% | 90.2% | 96.1%
| 500 | Araujo et al. [9]
| 88.3% | 92.7% | 98.9% | 83 | Asadifard and Shanbezadeh [25]
| 47.0% | 86.0% | 96.0% | 45 | Markuš et al. [6]
| 85.7% | 95.3% | 99.7% | 28 | Leo et al. 2013 [12]
| 78.0% | 86.0% | 90.0% | 330 | Leo et al. 2014 [13]
| 80.6% | 87.3% | 94.0% | 330 | Gou et al. [15]
| 91.2% | 99.4% | 99.8% | 67 | Ours | 85.6% | 95.9% | 99.5% | 13 |
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indicates that we cannot measure the processing time. |