Learning-Based Image Ground Segmentation Using Multiple Cues


Image ground segmentation is an important task in the area of computer vision for the robot navigation because the ground region is often taken as the traversable terrain. In this paper, we propose a learning-based method for image ground segmentation which applies the Adaboost learning method to combine multiple cues for detection of the ground region in… (More)


5 Figures and Tables

Slides referencing similar topics