114 citations · 167 across the 3 of their papers we have counts for
3 papers
BEBLID: Boosted efficient binary local image descriptor
Iago Suárez, Ghesn Sfeir, José M. Buenaposada +1
Efficient matching of local image features is a fundamental task in many computer vision applications. However, the real-time performance of top matching algorithms is compromised…
BAdaCost: Multi-class Boosting with Costs
Antonio Fernández-Baldera, José M. Buenaposada, Luis Baumela
We present BAdaCost, a multi-class cost-sensitive classification algorithm. It combines a set of cost-sensitive multi-class weak learners to obtain a strong classification rule wit…
On the representation and methodology for wide and short range head pose estimation
Alejandro Cobo, Roberto Valle, José M. Buenaposada +1
Head pose estimation (HPE) is a problem of interest in computer vision to improve the performance of face processing tasks in semi-frontal or profile settings. Recent applications…