This paper presents an experimental evaluation of a plane extraction method using various line extraction algorithms. Four different algorithms are chosen, which are well known in mobile robotics and computer vision. Experiments are performed on two sets of 25 range images either obtained by simulation or acquired by a proprietary 3D laser scanner. The performance of the range image segmentation is measured in terms of an average segment classification ratio. Moreover, the speed of the method is measured to conclude on the suitability for service robot applications.
Results on Range Image Segmentation for Service Robots
01.01.2006
384795 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Range image segmentation: the user's dilemma
IEEE | 1995
|Range Image Segmentation: The User's Dilemma
British Library Conference Proceedings | 1995
|Fast Range Image Segmentation Using High-Level Segmentation Primitives
British Library Conference Proceedings | 1996
|Position Control of Mobile Robots using Global Vision with Fast Color Image Segmentation
British Library Conference Proceedings | 2002
|