What Accuracy for 3D Measurements with Cameras?

Giannoula Florou 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question 'until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?'. Experiments are evaluated on simulated data and a rest is performed with real data.
Type de document :
Communication dans un congrès
13th International Conference on Pattern Recognition (ICPR'96), Aug 1996, Vienna, Austria. IEEE Computer society, I, pp.354--358, 1996, 〈10.1109/ICPR.1996.546048〉
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Giannoula Florou, Roger Mohr. What Accuracy for 3D Measurements with Cameras?. 13th International Conference on Pattern Recognition (ICPR'96), Aug 1996, Vienna, Austria. IEEE Computer society, I, pp.354--358, 1996, 〈10.1109/ICPR.1996.546048〉. 〈inria-00548374〉

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