Title :
Shape determination from intensity images-a new algorithm
Author :
Narasimhamurthi, N. ; Srinivasan, R. ; Shridhar, M. ; Ahmadi, Mahdi
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
fDate :
10/1/1990 12:00:00 AM
Abstract :
An algorithm for determining surface shapes from intensity measurements is presented. Assuming a point-surface illumination and a Lambertian surface, a model that allows for the estimation of the normals at any point on the surface as well as the depth at any point in the image plane along the viewer (camera) direction is developed. Explicit shape descriptors are derived for local characterization of the surface at any point. Studies with synthetic and natural scenes indicate that surface-shape descriptors are shown to provide a reliable local characterization of the surface at any point on the surface within the occluding boundaries
Keywords :
pattern recognition; picture processing; Lambertian surface; intensity images; intensity measurements; local characterization; natural scenes; point-surface illumination; surface shape determination; surface-shape descriptors; synthetic scenes; Cameras; Equations; Geometry; Humans; Layout; Light sources; Lighting; Machine vision; Reflectivity; Shape measurement;
Journal_Title :
Circuits and Systems, IEEE Transactions on