This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
This paper studies the geometry of multi-image perspective projection and the matching constraints that this induces on image measurements. The combined image projections define ...
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
Large area mapping at high resolution underwater continues to be constrained by the mismatch between available navigation as compared to sensor accuracy. In this paper we present ...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...
In this paper we start from a set of images obtained by the robot that is moving around in an environment. We present a method to automatically group the images into groups that c...