DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...
In this paper we investigate the utilization of nondedicated, opportunistic resources in a desktop environment to provide statistical assurances to a class of QoS sensitive, soft ...
In this paper we present a full-featured license plate detection and recognition system. The system is implemented on an embedded DSP platform and processes a video stream in real...
Abstract—PROGRESS is a project and strategic research centre at M¨alardalen University in Sweden that is funded for 2006– 2010 by the Swedish Foundation for Strategic Research...
Johan Kraft, Holger M. Kienle, Thomas Nolte, Ivica...
We present a novel keyframe selection and recognition
method for robust markerless real-time camera tracking.
Our system contains an ofine module to select features
from a grou...