|
| creator |
Leibe, B.
| | Hetzel, G.
| | Levi, P.
| | date |
2001-08-23
| | | | description |
8 pages
| |
In this paper, we explore the use of local feature histograms for
view-based recognition of free-form objects from range images. Our
approach uses a set of local features that are easy to calculate and
robust to partial occlusions. By combining them in a
multidimensional histogram, we can obtain highly discriminative
classifiers without having to solve a segmentation problem.
The system achieves above 91% recognition accuracy on a database of
almost 2000 full-sphere views of 30 free-form objects, with only
minimal space requirements. In addition, since it only requires the
calculation of very simple features, it is extremely fast and can
achieve real-time recognition performance.
| | format |
application/pdf
| | 626236 Bytes | |