We present an online learning approach for robustly combining unreliable
observations from a pedestrian detector to estimate the rough 3D scene geometry
from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
We present a novel calibration framework for multi-projector displays that achieves continuous geometric calibration by estimating and refining the poses of all projectors in an ...
Tyler Johnson, Greg Welch, Henry Fuchs, Eric La Fo...
This paper describes a spatio-temporal super-resolution method using depth maps for static scenes. In the proposed method, the depth maps are used as the parameters to determine th...
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...
— This paper describes a novel experiment in which two very different methods of underwater robot localization are compared. The first method is based on a geometric approach in...
Peter I. Corke, Carrick Detweiler, Matthew Dunbabi...