Title
Exploiting The Scanning Sequence For Automatic Registration Of Large Sets Of Range Maps
Abstract
Range map registration is still the most time consuming phase in the processing of 3D scanning data. This is because real scanning sets are composed of hundreds of range maps and their registration is still partially manual. We propose a new method to manage complex scan sets acquired by following a regular scanner pose pattern. Our goal is to define an initial adjacency graph by coarsely aligning couples of range maps that we know are partially overlapping thanks to the adopted scanning strategy. For a pair of partially overlapping range maps, our iterative solution locates pairs of correspondent vertices through the computation of a regular n x it kernel which takes into account vertex normals and is defined in the 2D space of the range map (represented in implicit 2D format rather than as a triangle mesh in 3D space). The shape-characterization kernel and the metrics defined give a sufficiently accurate shape matching, which has been proven to fit well the requirements of automatic registration. This initial set of adjacency arcs can then be augmented by the automatic identification of the other significant arcs, by adopting a criterion based on approximate range map overlap computation. With respect to the solutions present in literature, the simplifications and assumptions adopted make our solution specifically oriented to complex 3D scanning campaigns (hundreds of range maps). The proposed method can coarsely register range maps in parallel with the acquisition activity and this is a valuable help in assessing on site the completeness of the sampling of large objects.
Year
DOI
Venue
2005
10.1111/j.1467-8659.2005.00877.x
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
3D scanning, automatic registration, coarse registration, range map alignment
Computer vision,Computer science,Artificial intelligence
Journal
Volume
Issue
ISSN
24
3
0167-7055
Citations 
PageRank 
References 
12
0.56
14
Authors
5
Name
Order
Citations
PageRank
Paolo Pingi11168.37
Andrea Fasano2171.01
Paolo Cignoni33167207.04
Claudio Montani41595135.33
Roberto Scopigno53056236.09