| Abstract:
Three-dimensional (3-D) images have recently received wide attention in the
medical and industrial applications. The research involves the development of a non-invasive contour capturing method for facial surfaces using the structured light technique. The research focuses on how the images are obtained using the structured light optic system and the subsequent image processing of data to give a realistic 3-D image. The image processing and feature extraction steps in the structured light system produce a binary image consisting of single pixel width pattern of the structured light, which show where the projected lines are. But the contours of the objects mean that certain parts of the projected grid can not be seen on the captured image (dead shadow areas) and breaks occur in the projected grid itself around the holes or sharp edges. In order to produce a 3-D data set, all of the projected lines
must be perfectly formed, of single-pixel thickness and be continuous. The grid lines are interpreted and decisions must be made as to whether any given pixel belongs to which line. The algorithms attempt to provide solutions for both noise and breaks and to fill the disconnected areas.
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