1st Canadian Conference on Computer and Robot Vision (CRV'04)
ANN-Based Visibility Prediction for Camera Placement in Vision Metrology
University of Western Ontario, London, Ontario, Canada
May 17-May 19
ISBN: 0-7695-2127-4
Simulated based network design is a powerful technique in vision metrology systems (VMS) to automate camera placement process. Relatively expensive and time-consuming process of building 3D simulated CAD model is the main drawback of this technique which causes to do not be practically attended by users. In this paper, a new visibility prediction analysis using artificial neural network (ANN) is proposed. This flexible and reliable method can be installed in intelligent cameras to predict the visibility of weak points during imaging in order to suggest the best position and situation of next camera station. Our primary tests on a complex network demonstrated high capability of the proposed method.
Citation:
Mohammad Saadatseresht, Farhad Samadzadegan, Ali Azizi, "ANN-Based Visibility Prediction for Camera Placement in Vision Metrology," crv, pp.188-194, 1st Canadian Conference on Computer and Robot Vision (CRV'04), 2004