Image Based 3D Object Reconstruction System | ||
Engineering and Technology Journal | ||
Article 17, Volume 34, 2A, February 2016, Pages 393-405 PDF (1003.2 K) | ||
DOI: 10.30684/etj.2016.112639 | ||
Authors | ||
Ali Abbar Khleif; Athraa M.Salih Ahmed | ||
Abstract | ||
The concepts of image processing, computer vision and computer graphics have very important using in different laterals science. 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 including 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 consist 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), by scanning the image line by line, 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 to reconstruct the 3D objects depending on the resulted information (number of pixels). | ||
Keywords | ||
camera calibration; Image Processing; Image Scan; D Reconstruction | ||
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