ANN-Based Visibility Prediction for Camera Placement in Vision Metrology

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Venue:
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Year:
2004

Citing 3
Cited 0

Analytical characterization of the feature detectability constraints of resolution, focus, and field-of-view for vision sensor planning

CVGIP: Image Understanding
Optimal sensor and light source positioning for machine vision

Computer Vision and Image Understanding
Neural network design

Neural network design

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Abstract

Simulated based network design is a powerfultechnique in vision metrology systems (VMS) toautomate camera placement process. Relativelyexpensive and time-consuming process of building 3Dsimulated CAD model is the main drawback of thistechnique which causes to do not be practicallyattended by users. In this paper, a new visibilityprediction analysis using artificial neural network(ANN) is proposed. This flexible and reliable methodcan be installed in intelligent cameras to predict thevisibility of weak points during imaging in order tosuggest the best position and situation of next camerastation. Our primary tests on a complex networkdemonstrated high capability of the proposed method.