Analyse fonctionnelle by Brezis H.

By Brezis H.

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460471, 1989. 10. M. 1. Aldon, O. Strauss "Structured light and 2D vision for 3D scene analysis", Int. Conference IMAGE'COM, Bordeaux, pp. 222-227, November 1990. 11. T. C. Rixon, H. Stewart, "Stripe scanning for engineering". Sensor Review, 8 (2), pp. 67-71, 1988. 12. O. D. Faugeras, G. Toscani, " The calibration problem for stereo". IEEE Int. Conference CVPR'86, Miami Beach, USA, pp. 15-20, 1986. 13. S. Castan, 1. Zhao, J. Shen, "Optimal filter for edge detection methods and results" . 90, Antibes, pp.

Inclusion in the skeleton of most of these centers provides, to a great extent, stability under rotation, and figure reconstructability. The performance of the algorithm is illustrated in Fig. 2. The printouts show the reversability of the skeletonization, and how the skeleton structure matches the intuitive notion of skeleton. , [4], which exclusively rely on topology preserving removal operations to detect the skeletal pixels. The program has been written in USP, and executed on a VAXstation II.

This process is sufficiently accurate in comparison with the overall system's accuracy. Two stereo pairs are shown in fig. 4. IMAGE PROCESSING AND TRIANGULATION To extract significant points from images a specific operator is needed. The chosen edge detector is a zero crossing operator [8], consisting of the following steps. First a simple low pass filter is applied to the acquired images in order to smooth out the noise. This has the following convolution nucleus: Then a I-D Laplacian operator to the smoothed image is applied; its digital estimate has the following convolution nucleus: [I -2 I] A I-D operator is used because only vertical edges are to be searched.

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