Range image registration using plane extraction by the CAN2

This paper describes range image registration to fuse three-dimensional surfaces of range images taken from around an object. By means of using the competitive associative net called CAN2 for plane extraction, we constructed two methods: one is for the case where the planes of the floor and the wall...

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Bibliographic Details
Published in2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation pp. 546 - 550
Main Authors Kurogi, S., Koya, H., Nagashima, R., Wakeyama, D., Nishida, T.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2009
Subjects
Data mining
Function approximation
Fuses
Image reconstruction
Image registration
Image resolution
Piecewise linear approximation
Quantization
Surface reconstruction
Uncertainty
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ISBN1424448085
9781424448081
DOI10.1109/CIRA.2009.5423232

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Summary:This paper describes range image registration to fuse three-dimensional surfaces of range images taken from around an object. By means of using the competitive associative net called CAN2 for plane extraction, we constructed two methods: one is for the case where the planes of the floor and the wall are available, and the other is for the case where the available planes are on the floor and the object. With experimental results using the real images obtained by the laser range finder (LRF), we examine the performance of the methods, and present several problems to be solved in future research studies.
ISBN:1424448085
9781424448081
DOI:10.1109/CIRA.2009.5423232