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Issue No.09 - September (1991 vol.13)
pp: 907-919
ABSTRACT
<p>A new 3D texture model is developed by considering the scene image as the superposition of a random texture image on a smooth shaded image. The whole image is analyzed using a patch-by-patch process. Each patch is assumed to be a tilted and slanted texture plane. A modified reflectance map function is applied to describe the deterministic part, and the fractional differencing periodic model is chosen to describe the random texture because of its good performance in texture synthesis and its ability to represent the coarseness and the pattern of the surface at the same time. An orthographical projection technique is developed to deal with this particular random model, which has a nonisotropically distributed texture pattern. For estimating the parameter, a hybrid method that uses both the least square and the maximum-likelihood estimates is applied directly to the given intensity function. By using these parameters, the synthesized image is obtained and used to reconstruct the original image.</p>
INDEX TERMS
parameter estimation; 3D shape; picture processing; pattern recognition; textural surface image; 3D texture model; shaded image; patch-by-patch process; reflectance map function; fractional differencing periodic model; orthographical projection; synthesized image; estimation theory; pattern recognition; picture processing; probability
CITATION
Y. Choe, R.L. Kashyap, "3-D Shape from a Shaded and Textural Surface Image", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.13, no. 9, pp. 907-919, September 1991, doi:10.1109/34.93809
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