We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
In this paper, we propose an effective fingerprint matching algorithm based on ridge count matching and minutiae subset combination. In the algorithm, the orientation-based ridge ...
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Most detection algorithms for hyperspectral imaging applications assume a target with a perfectly known spectral signature. In practice, the target signature is either imperfectly...
Dimitris Manolakis, Ronald Lockwood, Thomas Cooley...
In this paper, we present a new solution to the problem of appearance matching across multiple nonoverlapping cameras. Objects of interest, pedestrians are represented by a set of...