Title :
Registration of multiple overlapping range images: scenes without distinctive features
Author :
Kamgar-Parsi, Behrooz ; Jones, Jeffrey L. ; Rosenfeld, Azriel
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
fDate :
9/1/1991 12:00:00 AM
Abstract :
A scheme is developed to register range images in an environment where distinctive features are scarce. Another issue addressed here is conflicting situations that may arise from pair-wise registration of multiple overlapping range images whether or not they contain distinctive features. There can be two causes for this: (a) error in individual registrations or (b) compression or bending in range images. The authors develop a scheme for resolving such conflicts for the case where range images share a common reference surface, i.e. when the transformation matrix between two overlapping images involves only three components: two translations and one rotation. The authors implemented this scheme to map the floor of the ocean, where the range data is obtained by a multibeam echo-sounder system installed aboard a sailing ship producing multiple overlapping range images. The system developed is the first automated system for correctly registered mapping of the ocean floor; it is efficient and robust
Keywords :
data compression; pattern recognition; picture processing; compression; image registration; multiple overlapping range images; ocean floor mapping; pair-wise registration; pattern recognition; picture processing; transformation matrix; Automation; Cost function; Data mining; Image coding; Image registration; Layout; Marine vehicles; Oceans; Robustness; Sea surface;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on