We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is traine...
This paper introduces a novel image-based rendering method which uses inputs from unstructured cameras and synthesizes free-viewpoint images of high quality. Our method uses a set...
This paper addresses the problem of to what extent linear transformation can alleviate nonlinear distortion. We investigate a technique of global affine transformation (GAT) corre...
A communication system between two autonomous micro air vehicles is proposed. Laser communication offers advantages in range, power, and bandwidth when line of sight is available....
Matt Last, Brian S. Leibowitz, Baris Cagdaser, Ana...