Early vision: from computational structure to algorithms and parallel hardware
Computer Vision, Graphics, and Image Processing
Robot vision
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active, optical range imaging sensors
Machine Vision and Applications
An ISODATA algorithm for straight line fitting
Pattern Recognition Letters
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous fitting of several planes to point sets using neural networks
Computer Vision, Graphics, and Image Processing
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Digital Picture Processing
Computer Vision
Optimal registration of deformed images
Optimal registration of deformed images
Matching Sets of 3D Line Segments with Application to Polygonal Arc Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building 3-D models from unregistered range images
Modelling from reality
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Image-based registration of 3D-range data using feature surface elements
VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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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.