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...
Κύριοι συγγραφείς: | Vedaldi, A, Ling, H, Soatto, S |
---|---|
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
2010
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Features for recognition: Viewpoint invariance for non-planar scenes
ανά: Vedaldi, A, κ.ά.
Έκδοση: (2005) -
Local features, all grown up
ανά: Vedaldi, A, κ.ά.
Έκδοση: (2006) -
Professionalism: hard to measure but you know it when you see it
ανά: Robert P. Ferguson
Έκδοση: (2014-04-01) -
Knowing a synapse when you see one
ανά: Alain eBurette, κ.ά.
Έκδοση: (2015-07-01) -
Viewpoint induced deformation statistics and the design of viewpoint invariant features: Singularities and occlusions
ανά: Vedaldi, A, κ.ά.
Έκδοση: (2006)