Knowing a good feature when you see it: Ground truth and methodology to evaluate local features for recognition
While the majority of computer vision systems are based on representing images by local features, the design of the latter has been so far mostly empirical. In this Chapter we propose to tie the design of local features to their systematic evaluation on a realistic ground-truthed dataset. We propose...
| Автори: | , , |
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| Формат: | Journal article |
| Мова: | English |
| Опубліковано: |
2010
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