Fast 3D mapping by matching planes extracted from range sensor point-clouds
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Automatic range image registration using mixed integer linear programming
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Fast registration based on noisy planes with unknown correspondences for 3-D mapping
IEEE Transactions on Robotics
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One of the difficulties in registering two range images scanned by 3D laser scanners is how to get a correct correspondence over the two images automatically. In this paper, we propose an automatic registration method based on matching of extracted planes. First, we introduce a new class of features: complete plane patches (CPP) on the basis of analysis of properties of real scenes. Then we generate a compact interpretation tree for these features. Finally, the image registration is accomplished automatically by searching the interpretation tree.