Title :
Shape from textured and shaded surface
Author :
Choe, Yoonsik ; Kashyap, R.L.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
A novel 3-D shape model is developed to describe a 3-D surface image by considering the scene image as the superposition of a smooth shaded image and a random texture image. The modified reflectance map function is applied to describe the deterministic part, and the orthographically projected fractional differencing periodic model is chosen to describe the random texture, because of its ability to represent the coarseness of the surface and the texture pattern, which is nonisotropically distributed due to the 3-D rotation, at the same time. For estimating the surface orientation parameters, a hybrid method which uses both the least-squares and the maximum-likelihood estimates is applied directly to the given intensity values of the image. These techniques are illustrated by synthetic examples
Keywords :
least squares approximations; parameter estimation; pattern recognition; picture processing; 3-D rotation; 3-D shape model; 3-D surface image; coarseness; least-squares; maximum-likelihood estimates; modified reflectance map function; orthographically projected fractional differencing periodic model; random texture image; shaded surface; surface orientation; Computer vision; Data mining; Fractals; Layout; Least squares approximation; Lighting; Maximum likelihood estimation; Reflectivity; Shape; Surface texture;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118117