Title :
Rapid recognition of freeform objects in noisy range images using tripod operators
Author :
Pipitone, Frank ; Adams, William
Author_Institution :
US Naval Res. Lab., Washington, DC, USA
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
Keywords :
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; Artificial intelligence; Data mining; Feature extraction; Image recognition; Laboratories; Noise shaping; Object recognition; Photometry; Shape; Surface reconstruction; Surface treatment;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341014
