Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
We present an empirical study of teams that revealed the amount of extraneous individual work needed to enable collaboration: finding references to other people, finding files to ...
John C. Tang, James Lin, Jeffrey Pierce, Steve Whi...
This paper presents an abandoned item and illegally parked vehicle detection method for single static camera video surveillance applications. By processing the input video at diff...
Sensor networks are used in a variety of application areas for diverse problems from habitat monitoring to military tracking. Whenever they are used to monitor sensitive objects, ...
Yi Ouyang, Zhengyi Le, Guanling Chen, James Ford, ...