We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
This paper presents a method for automatic on-line color calibration of soccer-playing robots. Our method requires a geometrical model of the field-lines in world coordinates, and...
We present a new measure for evaluation of algorithms for the detection of regions of interest (ROI) in, e.g., attention mechanisms. In contrast to existing measures, the present a...
Abstract. We consider the task of stereo-reconstruction under the following fairly broad assumptions. A single and continuously shaped object is captured by two uncalibrated camera...
Dmitrij Schlesinger, Boris Flach, Alexander Shekho...