Name
Abstract | ||
|---|---|---|
The tripod operator is a class of feature extraction operators for range images. It facilitates the recognition and/or localization of objects by extracting a few sparse point samples in a regimented way; n sampled surface points yield only n-3 scalar features containing all the surface shape information in these points and no other information. They have complete six degrees-of-freedom (DOF) isometry invariance. Isolated objects are recognized in noisy range images using a statistical treatment of a few isolated tripod operator placements. Experiments show fast, reliable recognition |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/CVPR.1993.341014 | New York, NY |
Keywords | Field | DocType |
feature extraction,image recognition,noise,object recognition,statistical analysis,6-d.o.f. isometry invariance,feature extraction operators,freedom object rapid recognition,noisy range images,object localization,scalar features,sparse point samples,statistical treatment,tripod operators | Surface reconstruction,Computer vision,Invariant (physics),Pattern recognition,Computer science,Isometry,Feature extraction,Noise shaping,Operator (computer programming),Artificial intelligence,Tripod (photography),Cognitive neuroscience of visual object recognition | Conference |
Volume | Issue | ISSN |
1993 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-8186-3880-X | 1 | 0.42 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Pipitone | 1 | 28 | 18.90 |
| William Adams | 2 | 1 | 0.42 |