Issue No. 05 - September (1988 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.6787
A method is presented for determining the surface orientations of an object by projecting a stripe pattern on to it. Assuming orthographical projection as a camera model and parallel light projection of the stripe pattern, the method obtains a 2 1/2-D representation of objects by estimating surface normals from the slopes and intervals of the stripes in the image. The 2 1/2-D image is further divided into planar or singly curved surfaces by examining the distribution of the surface normals in gradient space. A simple application to finding a planar surface and determining its orientation and shape is shown. The error in surface orientation is discussed.<
picture processing, pattern recognition, gradient space, stripe pattern projection, picture processing, pattern recognition, 2.5 D images, surface normal distribution, surface orientation, orthographical projection, parallel light projection, curved surfaces, Layout, Cameras, Light sources, Stereo vision, Control engineering, Labeling, Shape, Computer errors, Pattern analysis, Face detection
"Determining surface orientation by projecting a stripe pattern," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 10, no. , pp. 749,750,751,752,753,754, 1988.