Automatic Sensor Placement from Vision Task Requirements
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Visibility scripts for active feature-based inspection
Pattern Recognition Letters
Automated surface acquisition using range cameras
Automated surface acquisition using range cameras
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Automatic 3-D digitization using a laser rangefinder with a small field of view
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
A Sensor-Based Solution to the Next Best View Problem
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
View planning for automated three-dimensional object reconstruction and inspection
ACM Computing Surveys (CSUR)
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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The use of laser range sensor allows very significant improvement in acquisition speed but does not equal the accuracy obtained with a coordinate measuring machine. In order to obtain a quality control close to that obtained in metrology, we suggest to improve the accuracy of the depth measurements by positioning the sensor's head according to a strategy for optimum 3D data acquisition. We propose in this paper such a strategy to automatically produce a sensing plan for completely and accurately acquiring the geometry of a surface or of the whole piece whenever possible. The system requires the exact position and orientation of the part and its CAD model in IGES format. There is no limitation regarding the shape of the part to be digitized. An auto-synchronized range sensor developed at the NRCC was used, and for this sensor, the accuracy of the 3D measured points is a function of the distance and of the incident angle relative to the surface. Our strategy guaranties that the viewpoints found meet the best accuracy conditions in the scanning process.