3D object modeling using eye on hand approach

Abstract EN

This research proposed vision measurement system which consists of a camera carried on hand of a robot, which captured 2D image to the object from two sides with a constant distance of the objects.

To achieve this work several experimental steps are needed: First step includes calibrating the camera by using a standard block to find the best distance between the camera and the object.

The best result of a distance is (410) mm.

The second step consists of using MATLAB 7.12.0 (R2011a) program to achieve image processing to get some digital information (number of pixels in each row and column), using the proposed line by line scanning algorithm, to extract 2D object dimensions.

The resulted dimensions are found closer to real object dimensions that are measured using a digital vernier and 3d digital probe.

Last step includes 2D image manipulating using the proposed algorithms to reconstruct the 3D objects depending on the resulted information (number of pixels).