This paper presents a new feature point detector that is accurate, efficient and fast. A detailed qualitative evaluation of the proposed feature point detector for grayscale images...
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...