Shape detection using light line and Bezier approximation network

Abstract A technique for measuring the object shape is presented. In this technique, the object is scanned by means of a light line. From the scanning, a set of images is captured by a CCD camera. The object surface is recovered by processing these images. To determine the surface dimensions, a Bezier approximation network is applied. This approximation network is constructed using information on images of a light line projected onto the objects, whose dimensions are known. The image data are extracted by applying the Gaussian approximation method. Using the approximation network in this technique, the surface measurement is determined by image processing, and the parameters of the set-up are avoided. In this manner, the accuracy of the techniques of light line projection for shape detection is improved, because errors in the parameters of the set-up are not introduced into the system. This technique has great potential, because it is a very simple experimental set-up and inexpensive. The experimental results obtained by this technique are verified with a contact method.

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