Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative ...

This work proposes a novel texture descriptor based on fractal theory. The method is based on the Bouligand- Minkowski descriptors. We decompose the original image recursively into four equal parts. In each recursion step, ...

The Buckminster fullerene C-60 molecule was analyzed from the point of view of global and local reactivity. In particular, the dual descriptor-a local reactivity descriptor derived from conceptual density functional ...

The main goal of this survey is to present a complete analysis of object recognition methods based on local invariant features from a robotics perspective; a summary which can be used by developers of robot vision applications ...

Extreme learning machine is an algorithm that has shown a good performance facing classi cation and regression problems. It has gained great acceptance by the scienti c community due to the simplicity of the model and ...