Feature-based image matching relies on the assumption that the features contained in the model are distinctive enough. When both model and data present a sizeable amount of clutte...
Andrea Albarelli, Emanuele Rodolà, Alberto Cavall...
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly...