Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Optimal sensor and light source positioning for machine vision
Computer Vision and Image Understanding
A unified approach for hierarchical adaptive tesselation of surfaces
ACM Transactions on Graphics (TOG)
Occlusions as a Guide for Planning the Next View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Model Acquisition from Range Images with View Planning
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automatic sensor placement for model-based robot vision
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Vision sensor planning for 3-D model acquisition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes a new planning algorithm to perform automatic dimensional inspection of 3D industrial parts using a machine vision system. Our approach makes use of all the information available in the system: model of the machine part to inspect and characteristics of the inspection system obtained in previous calibration stages. The analysis is based on discretizing both the configuration space of the system as well as the geometry of the part. Our method does not limit the range of application of the system. It neither imposes any restrictions to the viewpoints from where the part is to be inspected nor to the complexity of the part. All the results shown in this study have been tested with a machine vision inspection system for quality control of industrial parts which consists of a stereoscopic pair of cameras and a laser plane.