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Adaption of invariant features in image for point clouds registration

Abbas, Mohd. Azwan and Setan, Halim and Majid, Zulkepli and Chong, Albert K. and Lau, Chong Luh and Idris, Khairulnizam M. and Ariff, Mohd. Farid Mohd. (2015) Adaption of invariant features in image for point clouds registration. Jurnal Teknologi, 75 (10). pp. 111-118. ISSN 0127-9696

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Official URL: http://dx.doi.org/10.11113/jt.v75.5279

Abstract

Currently, coarse registration methods for scanner are required heavy operator intervention either before or after scanning process. There also have an automatic registration method but only applicable to a limited class of objects (e.g. straight lines and flat surfaces). This study is devoted to a search of a computationally feasible automatic coarse registration method with a broad range of applicability. Nowadays, most laser scanner systems are supplied with a camera, such that the scanned data can also be photographed. The proposed approach will exploit the invariant features detected from image to associate point cloud registration. Three types of detectors are included: scale invariant feature transform (SIFT), 2) Harris affine, and 3) maximally stable extremal regions (MSER). All detected features will transform into the laser scanner coordinate system, and their performance is measured based on the number of corresponding points. Several objects with different observation techniques were performed to evaluate the capability of proposed approach and also to evaluate the performance of selected detectors.

Item Type:Article
Uncontrolled Keywords:laser scanner, photogrammetry
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD1394-1394.5 Real estate management
Divisions:Geoinformation and Real Estate
ID Code:57698
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:11 Sep 2017 08:12

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