This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
Fuzzy sets theory constitutes a poweful tool, that can lead to more robustness in problems such as image segmentation and recognition. This robustness results to some extent from t...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
In this paper we study advancing front methods for surface reconstruction. We propose a topological framework based on handlebody theory to implement such methods in a simple and r...
Esdras Soares de Medeiros Filho, Luiz Velho, H&eac...
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce...