Abstract: The invention relates to the calibration of a three-dimensional computer vision system. The method and system are implemented using a polygonal plate-like calibration piece (21) made of a material whose properties do not change significantly with changes in conditions or with time. The edges of the calibration piece (21) used have different lengths and the piece is provided with circular focusing marks (22) placed at its vertices.

Abstract: The present invention concerns the discrimination of good measurement results measured by a computer vision system from bad results. By the method of the invention, values calculated from the observation vectors of several measuring devices can be discriminated into good and bad values by using a quality factor. The quality factor is calculated from the parameters of an error ellipsoid. The error ellipsoid is formed using the calculated value and the observation vectors. If the value calculated from the error ellipsoid parameters exceeds a threshold value that has been input, then the measurement result is rejected.

Abstract: The invention relates to connection of corresponding points measured by a computer vision system. The points are indicated by an illuminator (LASER), by means of which several points can be illuminated on the surface of the object at the same time. A camera system (CAM1, CAM2) measures the positions of the points. Using a data system (DTE), projection images are generated from a three-dimensional model of the object, in which images the positions of the points are calculated. To locate the actual point in the image perceived by the cameras, a search is performed in an area in the neighborhood of coordinates calculated from the point in the projection image. The point thus located can be connected to the perceptions of the other cameras by the aid of the projection images. After the corresponding points have been found, the actual three-dimensional coordinates of the measured point are calculated.