Gillian Jean-Baptiste

Learn More
A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves (a) a common set of 40 laser range nder images and 40 structured light scanner images that have manually speciied ground truth and (b) a set of deened performance metrics for instances of correctly segmented, missed and noise regions, over-and(More)
`Over-segmentation', `under-segmentation', `good results' and similar subjective terms appear frequently in the literature on range image segmentation. However, even though the need for standardized segmentation error metrics has been long recognized, no formal methodology for evaluating a range image segmentation has appeared. This paper describes a(More)
  • 1