Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
The purpose of this paper is to allow for high level shape representation and matching in multi-object images by detecting and extracting the envelope of object groupings in the im...
Naif Alajlan, Ossama El Badawy, Mohamed S. Kamel, ...
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
This paper introduces a simple criterion to select the most important level lines from the numerous set obtained with a topographic map. A topographic map gives a morphological an...
When building a representation of the environment for a robot in a multi-agent application, as is the case of robotic soccer, sensor and information fusion of several elements of t...