In this paper a novel measure for visual correspondence is proposed, to be adopted for common computer vision tasks such as pattern matching, stereo vision, change detection. The ...
Federico Tombari, Luigi di Stefano, Stefano Mattoc...
The well-known marching cubes algorithm is modified to apply to the face-centered cubic (fcc) grid. Thus, the local configurations that are considered when extracting the local su...
We address the synchronization of a pair of video sequences captured from moving vehicles and the spatial registration of all the temporally corresponding frames. This is necessar...
Felipe Lumbreras, Ferran Diego, Joan Serrat, Jos&e...
We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the ...
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
In this paper, we propose a technique for detecting possible events in outdoor areas monitored by a video surveillance system. In particular, here we focus on the time spent by an...
Christian Micheloni, Lauro Snidaro, Claudio Piciar...
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
In this paper, we propose a computational scheme named an interval-based linear hybrid dynamical system (ILHDS) to represent complex dynamic events based on temporal intervals, ea...
In the past few years, 3D face modeling has gained significant attention. Reliable modeling of the face is necessary for good performance of a 3D assisted face recognition system....
In this paper, we address the relatively unexplored problem of classifying texture surfaces undergoing significant levels of non-rigid deformation. State-of-the-art texture classi...